public virtual PerspectiveTransform createTransform(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft, ResultPoint alignmentPattern, int dimension)
{
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
float dimMinusThree = (float) dimension - 3.5f;
float bottomRightX;
float bottomRightY;
float sourceBottomRightX;
float sourceBottomRightY;
if (alignmentPattern != null)
{
bottomRightX = alignmentPattern.X;
bottomRightY = alignmentPattern.Y;
sourceBottomRightX = sourceBottomRightY = dimMinusThree - 3.0f;
}
else
{
// Don't have an alignment pattern, just make up the bottom-right point
bottomRightX = (topRight.X - topLeft.X) + bottomLeft.X;
bottomRightY = (topRight.Y - topLeft.Y) + bottomLeft.Y;
sourceBottomRightX = sourceBottomRightY = dimMinusThree;
}
PerspectiveTransform transform = PerspectiveTransform.quadrilateralToQuadrilateral(3.5f, 3.5f, dimMinusThree, 3.5f, sourceBottomRightX, sourceBottomRightY, 3.5f, dimMinusThree, topLeft.X, topLeft.Y, topRight.X, topRight.Y, bottomRightX, bottomRightY, bottomLeft.X, bottomLeft.Y);
return transform;
}
/// <summary> <p>Computes the dimension (number of modules on a size) of the QR Code based on the position
/// of the finder patterns and estimated module size.</p>
/// </summary>
protected internal static int computeDimension(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft, float moduleSize)
{
int tltrCentersDimension = round(ResultPoint.distance(topLeft, topRight) / moduleSize);
int tlblCentersDimension = round(ResultPoint.distance(topLeft, bottomLeft) / moduleSize);
int dimension = ((tltrCentersDimension + tlblCentersDimension) >> 1) + 7;
switch (dimension & 0x03)
{
// mod 4
case 0:
dimension++;
break;
// 1? do nothing
case 2:
dimension--;
break;
case 3:
throw ReaderException.Instance;
}
return dimension;
}
private static Result translateResultPoints(Result result, int xOffset, int yOffset)
{
ResultPoint[] oldResultPoints = result.ResultPoints;
ResultPoint[] newResultPoints = new ResultPoint[oldResultPoints.Length];
for (int i = 0; i < oldResultPoints.Length; i++)
{
ResultPoint oldPoint = oldResultPoints[i];
newResultPoints[i] = new ResultPoint(oldPoint.X + xOffset, oldPoint.Y + yOffset);
}
return new Result(result.Text, result.RawBytes, newResultPoints, result.BarcodeFormat);
}
private static BitMatrix sampleGrid(BitMatrix matrix, ResultPoint topLeft, ResultPoint bottomLeft, ResultPoint topRight, ResultPoint bottomRight, int dimension)
{
// Note that unlike the QR Code sampler, we didn't find the center of modules, but the
// very corners. So there is no 0.5f here; 0.0f is right.
GridSampler sampler = GridSampler.Instance;
return sampler.sampleGrid(matrix, dimension, 0.0f, 0.0f, dimension, 0.0f, dimension, dimension, 0.0f, dimension, topLeft.X, topLeft.Y, topRight.X, topRight.Y, bottomRight.X, bottomRight.Y, bottomLeft.X, bottomLeft.Y); // p4FromY
}
/// <summary> Locate the vertices and the codewords area of a black blob using the Start
/// and Stop patterns as locators. This assumes that the image is rotated 180
/// degrees and if it locates the start and stop patterns at it will re-map
/// the vertices for a 0 degree rotation.
/// TODO: Change assumption about barcode location.
/// TODO: Scanning every row is very expensive. We should only do this for TRY_HARDER.
///
/// </summary>
/// <param name="matrix">the scanned barcode image.
/// </param>
/// <returns> an array containing the vertices:
/// vertices[0] x, y top left barcode
/// vertices[1] x, y bottom left barcode
/// vertices[2] x, y top right barcode
/// vertices[3] x, y bottom right barcode
/// vertices[4] x, y top left codeword area
/// vertices[5] x, y bottom left codeword area
/// vertices[6] x, y top right codeword area
/// vertices[7] x, y bottom right codeword area
/// </returns>
private static ResultPoint[] findVertices180(BitMatrix matrix)
{
int height = matrix.Height;
int width = matrix.Width;
int halfWidth = width >> 1;
ResultPoint[] result = new ResultPoint[8];
bool found = false;
// Top Left
for (int i = height - 1; i > 0; i--)
{
int[] loc = findGuardPattern(matrix, halfWidth, i, halfWidth, true, START_PATTERN_REVERSE);
if (loc != null)
{
result[0] = new ResultPoint(loc[1], i);
result[4] = new ResultPoint(loc[0], i);
found = true;
break;
}
}
// Bottom Left
if (found)
{
// Found the Top Left vertex
found = false;
for (int i = 0; i < height; i++)
{
int[] loc = findGuardPattern(matrix, halfWidth, i, halfWidth, true, START_PATTERN_REVERSE);
if (loc != null)
{
result[1] = new ResultPoint(loc[1], i);
result[5] = new ResultPoint(loc[0], i);
found = true;
break;
}
}
}
// Top Right
if (found)
{
// Found the Bottom Left vertex
found = false;
for (int i = height - 1; i > 0; i--)
{
int[] loc = findGuardPattern(matrix, 0, i, halfWidth, false, STOP_PATTERN_REVERSE);
if (loc != null)
{
result[2] = new ResultPoint(loc[0], i);
result[6] = new ResultPoint(loc[1], i);
found = true;
break;
}
}
}
// Bottom Right
if (found)
{
// Found the Top Right vertex
found = false;
for (int i = 0; i < height; i++)
{
int[] loc = findGuardPattern(matrix, 0, i, halfWidth, false, STOP_PATTERN_REVERSE);
if (loc != null)
{
result[3] = new ResultPoint(loc[0], i);
result[7] = new ResultPoint(loc[1], i);
found = true;
break;
}
}
}
return found?result:null;
}
/// <summary> Because we scan horizontally to detect the start and stop patterns, the vertical component of
/// the codeword coordinates will be slightly wrong if there is any skew or rotation in the image.
/// This method moves those points back onto the edges of the theoretically perfect bounding
/// quadrilateral if needed.
///
/// </summary>
/// <param name="vertices">The eight vertices located by findVertices().
/// </param>
private static void correctCodeWordVertices(ResultPoint[] vertices, bool upsideDown)
{
float skew = vertices[4].Y - vertices[6].Y;
if (upsideDown)
{
skew = - skew;
}
if (skew > SKEW_THRESHOLD)
{
// Fix v4
float length = vertices[4].X - vertices[0].X;
float deltax = vertices[6].X - vertices[0].X;
float deltay = vertices[6].Y - vertices[0].Y;
float correction = length * deltay / deltax;
vertices[4] = new ResultPoint(vertices[4].X, vertices[4].Y + correction);
}
else if (- skew > SKEW_THRESHOLD)
{
// Fix v6
float length = vertices[2].X - vertices[6].X;
float deltax = vertices[2].X - vertices[4].X;
float deltay = vertices[2].Y - vertices[4].Y;
float correction = length * deltay / deltax;
vertices[6] = new ResultPoint(vertices[6].X, vertices[6].Y - correction);
}
skew = vertices[7].Y - vertices[5].Y;
if (upsideDown)
{
skew = - skew;
}
if (skew > SKEW_THRESHOLD)
{
// Fix v5
float length = vertices[5].X - vertices[1].X;
float deltax = vertices[7].X - vertices[1].X;
float deltay = vertices[7].Y - vertices[1].Y;
float correction = length * deltay / deltax;
vertices[5] = new ResultPoint(vertices[5].X, vertices[5].Y + correction);
}
else if (- skew > SKEW_THRESHOLD)
{
// Fix v7
float length = vertices[3].X - vertices[7].X;
float deltax = vertices[3].X - vertices[5].X;
float deltay = vertices[3].Y - vertices[5].Y;
float correction = length * deltay / deltax;
vertices[7] = new ResultPoint(vertices[7].X, vertices[7].Y - correction);
}
}
private static BitMatrix sampleGrid(BitMatrix image, ResultPoint topLeft, ResultPoint bottomLeft, ResultPoint bottomRight, int dimension)
{
// We make up the top right point for now, based on the others.
// TODO: we actually found a fourth corner above and figured out which of two modules
// it was the corner of. We could use that here and adjust for perspective distortion.
float topRightX = (bottomRight.X - bottomLeft.X) + topLeft.X;
float topRightY = (bottomRight.Y - bottomLeft.Y) + topLeft.Y;
// Note that unlike in the QR Code sampler, we didn't find the center of modules, but the
// very corners. So there is no 0.5f here; 0.0f is right.
GridSampler sampler = GridSampler.Instance;
return sampler.sampleGrid(image, dimension, 0.0f, 0.0f, dimension, 0.0f, dimension, dimension, 0.0f, dimension, topLeft.X, topLeft.Y, topRightX, topRightY, bottomRight.X, bottomRight.Y, bottomLeft.X, bottomLeft.Y);
}
/// <summary> <p>Estimates module size based on two finder patterns -- it uses
/// {@link #sizeOfBlackWhiteBlackRunBothWays(int, int, int, int)} to figure the
/// width of each, measuring along the axis between their centers.</p>
/// </summary>
private float calculateModuleSizeOneWay(ResultPoint pattern, ResultPoint otherPattern)
{
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
float moduleSizeEst1 = sizeOfBlackWhiteBlackRunBothWays((int) pattern.X, (int) pattern.Y, (int) otherPattern.X, (int) otherPattern.Y);
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
float moduleSizeEst2 = sizeOfBlackWhiteBlackRunBothWays((int) otherPattern.X, (int) otherPattern.Y, (int) pattern.X, (int) pattern.Y);
if (System.Single.IsNaN(moduleSizeEst1))
{
return moduleSizeEst2 / 7.0f;
}
if (System.Single.IsNaN(moduleSizeEst2))
{
return moduleSizeEst1 / 7.0f;
}
// Average them, and divide by 7 since we've counted the width of 3 black modules,
// and 1 white and 1 black module on either side. Ergo, divide sum by 14.
return (moduleSizeEst1 + moduleSizeEst2) / 14.0f;
}
// Note that we don't try rotation without the try harder flag, even if rotation was supported.
public virtual Result decode(BinaryBitmap image, System.Collections.Hashtable hints)
{
try
{
return doDecode(image, hints);
}
catch (ReaderException re)
{
bool tryHarder = hints != null && hints.ContainsKey(DecodeHintType.TRY_HARDER);
if (tryHarder && image.RotateSupported)
{
BinaryBitmap rotatedImage = image.rotateCounterClockwise();
Result result = doDecode(rotatedImage, hints);
// Record that we found it rotated 90 degrees CCW / 270 degrees CW
System.Collections.Hashtable metadata = result.ResultMetadata;
int orientation = 270;
if (metadata != null && metadata.ContainsKey(ResultMetadataType.ORIENTATION))
{
// But if we found it reversed in doDecode(), add in that result here:
orientation = (orientation + ((System.Int32) metadata[ResultMetadataType.ORIENTATION])) % 360;
}
result.putMetadata(ResultMetadataType.ORIENTATION, (System.Object) orientation);
// Update result points
ResultPoint[] points = result.ResultPoints;
int height = rotatedImage.Height;
for (int i = 0; i < points.Length; i++)
{
points[i] = new ResultPoint(height - points[i].Y - 1, points[i].X);
}
return result;
}
else
{
throw re;
}
}
}
/// <summary> We're going to examine rows from the middle outward, searching alternately above and below the
/// middle, and farther out each time. rowStep is the number of rows between each successive
/// attempt above and below the middle. So we'd scan row middle, then middle - rowStep, then
/// middle + rowStep, then middle - (2 * rowStep), etc.
/// rowStep is bigger as the image is taller, but is always at least 1. We've somewhat arbitrarily
/// decided that moving up and down by about 1/16 of the image is pretty good; we try more of the
/// image if "trying harder".
///
/// </summary>
/// <param name="image">The image to decode
/// </param>
/// <param name="hints">Any hints that were requested
/// </param>
/// <returns> The contents of the decoded barcode
/// </returns>
/// <throws> ReaderException Any spontaneous errors which occur </throws>
private Result doDecode(BinaryBitmap image, System.Collections.Hashtable hints)
{
int width = image.Width;
int height = image.Height;
BitArray row = new BitArray(width);
int middle = height >> 1;
bool tryHarder = hints != null && hints.ContainsKey(DecodeHintType.TRY_HARDER);
int rowStep = System.Math.Max(1, height >> (tryHarder?7:4));
int maxLines;
if (tryHarder)
{
maxLines = height; // Look at the whole image, not just the center
}
else
{
maxLines = 9; // Nine rows spaced 1/16 apart is roughly the middle half of the image
}
for (int x = 0; x < maxLines; x++)
{
// Scanning from the middle out. Determine which row we're looking at next:
int rowStepsAboveOrBelow = (x + 1) >> 1;
bool isAbove = (x & 0x01) == 0; // i.e. is x even?
int rowNumber = middle + rowStep * (isAbove?rowStepsAboveOrBelow:- rowStepsAboveOrBelow);
if (rowNumber < 0 || rowNumber >= height)
{
// Oops, if we run off the top or bottom, stop
break;
}
// Estimate black point for this row and load it:
try
{
row = image.getBlackRow(rowNumber, row);
}
catch (ReaderException)
{
continue;
}
// While we have the image data in a BitArray, it's fairly cheap to reverse it in place to
// handle decoding upside down barcodes.
for (int attempt = 0; attempt < 2; attempt++)
{
if (attempt == 1)
{
// trying again?
row.reverse(); // reverse the row and continue
// This means we will only ever draw result points *once* in the life of this method
// since we want to avoid drawing the wrong points after flipping the row, and,
// don't want to clutter with noise from every single row scan -- just the scans
// that start on the center line.
if (hints != null && hints.ContainsKey(DecodeHintType.NEED_RESULT_POINT_CALLBACK))
{
System.Collections.Hashtable newHints = System.Collections.Hashtable.Synchronized(new System.Collections.Hashtable()); // Can't use clone() in J2ME
System.Collections.IEnumerator hintEnum = hints.Keys.GetEnumerator();
//UPGRADE_TODO: Method 'java.util.Enumeration.hasMoreElements' was converted to 'System.Collections.IEnumerator.MoveNext' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationhasMoreElements'"
while (hintEnum.MoveNext())
{
//UPGRADE_TODO: Method 'java.util.Enumeration.nextElement' was converted to 'System.Collections.IEnumerator.Current' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationnextElement'"
System.Object key = hintEnum.Current;
if (!key.Equals(DecodeHintType.NEED_RESULT_POINT_CALLBACK))
{
newHints[key] = hints[key];
}
}
hints = newHints;
}
}
try
{
// Look for a barcode
Result result = decodeRow(rowNumber, row, hints);
// We found our barcode
if (attempt == 1)
{
// But it was upside down, so note that
result.putMetadata(ResultMetadataType.ORIENTATION, (System.Object) 180);
// And remember to flip the result points horizontally.
ResultPoint[] points = result.ResultPoints;
points[0] = new ResultPoint(width - points[0].X - 1, points[0].Y);
points[1] = new ResultPoint(width - points[1].X - 1, points[1].Y);
}
return result;
}
catch (ReaderException)
{
// continue -- just couldn't decode this row
}
}
}
throw ReaderException.Instance;
}
public DetectorResult(BitMatrix bits, ResultPoint[] points)
{
this.bits = bits;
this.points = points;
}
/// <summary> <p>Detects a Data Matrix Code in an image.</p>
///
/// </summary>
/// <returns> {@link DetectorResult} encapsulating results of detecting a QR Code
/// </returns>
/// <throws> ReaderException if no Data Matrix Code can be found </throws>
public DetectorResult detect()
{
ResultPoint[] cornerPoints = rectangleDetector.detect();
ResultPoint pointA = cornerPoints[0];
ResultPoint pointB = cornerPoints[1];
ResultPoint pointC = cornerPoints[2];
ResultPoint pointD = cornerPoints[3];
// Point A and D are across the diagonal from one another,
// as are B and C. Figure out which are the solid black lines
// by counting transitions
System.Collections.ArrayList transitions = System.Collections.ArrayList.Synchronized(new System.Collections.ArrayList(4));
transitions.Add(transitionsBetween(pointA, pointB));
transitions.Add(transitionsBetween(pointA, pointC));
transitions.Add(transitionsBetween(pointB, pointD));
transitions.Add(transitionsBetween(pointC, pointD));
Collections.insertionSort(transitions, new ResultPointsAndTransitionsComparator());
// Sort by number of transitions. First two will be the two solid sides; last two
// will be the two alternating black/white sides
ResultPointsAndTransitions lSideOne = (ResultPointsAndTransitions) transitions[0];
ResultPointsAndTransitions lSideTwo = (ResultPointsAndTransitions) transitions[1];
// Figure out which point is their intersection by tallying up the number of times we see the
// endpoints in the four endpoints. One will show up twice.
System.Collections.Hashtable pointCount = System.Collections.Hashtable.Synchronized(new System.Collections.Hashtable());
increment(pointCount, lSideOne.From);
increment(pointCount, lSideOne.To);
increment(pointCount, lSideTwo.From);
increment(pointCount, lSideTwo.To);
ResultPoint maybeTopLeft = null;
ResultPoint bottomLeft = null;
ResultPoint maybeBottomRight = null;
System.Collections.IEnumerator points = pointCount.Keys.GetEnumerator();
//UPGRADE_TODO: Method 'java.util.Enumeration.hasMoreElements' was converted to 'System.Collections.IEnumerator.MoveNext' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationhasMoreElements'"
while (points.MoveNext())
{
//UPGRADE_TODO: Method 'java.util.Enumeration.nextElement' was converted to 'System.Collections.IEnumerator.Current' which has a different behavior. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1073_javautilEnumerationnextElement'"
ResultPoint point = (ResultPoint) points.Current;
System.Int32 value_Renamed = (System.Int32) pointCount[point];
if (value_Renamed == 2)
{
bottomLeft = point; // this is definitely the bottom left, then -- end of two L sides
}
else
{
// Otherwise it's either top left or bottom right -- just assign the two arbitrarily now
if (maybeTopLeft == null)
{
maybeTopLeft = point;
}
else
{
maybeBottomRight = point;
}
}
}
if (maybeTopLeft == null || bottomLeft == null || maybeBottomRight == null)
{
throw ReaderException.Instance;
}
// Bottom left is correct but top left and bottom right might be switched
ResultPoint[] corners = new ResultPoint[]{maybeTopLeft, bottomLeft, maybeBottomRight};
// Use the dot product trick to sort them out
ResultPoint.orderBestPatterns(corners);
// Now we know which is which:
ResultPoint bottomRight = corners[0];
bottomLeft = corners[1];
ResultPoint topLeft = corners[2];
// Which point didn't we find in relation to the "L" sides? that's the top right corner
ResultPoint topRight;
if (!pointCount.ContainsKey(pointA))
{
topRight = pointA;
}
else if (!pointCount.ContainsKey(pointB))
{
topRight = pointB;
}
else if (!pointCount.ContainsKey(pointC))
{
topRight = pointC;
}
else
{
topRight = pointD;
}
// Next determine the dimension by tracing along the top or right side and counting black/white
// transitions. Since we start inside a black module, we should see a number of transitions
// equal to 1 less than the code dimension. Well, actually 2 less, because we are going to
// end on a black module:
// The top right point is actually the corner of a module, which is one of the two black modules
// adjacent to the white module at the top right. Tracing to that corner from either the top left
// or bottom right should work here. The number of transitions could be higher than it should be
// due to noise. So we try both and take the min.
int dimension = System.Math.Min(transitionsBetween(topLeft, topRight).Transitions, transitionsBetween(bottomRight, topRight).Transitions);
if ((dimension & 0x01) == 1)
{
// it can't be odd, so, round... up?
dimension++;
}
dimension += 2;
BitMatrix bits = sampleGrid(image, topLeft, bottomLeft, bottomRight, dimension);
return new DetectorResult(bits, new ResultPoint[]{pointA, pointB, pointC, pointD});
}
internal ResultPointsAndTransitions(ResultPoint from, ResultPoint to, int transitions)
{
this.from = from;
this.to = to;
this.transitions = transitions;
}
/// <summary> Counts the number of black/white transitions between two points, using something like Bresenham's algorithm.</summary>
private ResultPointsAndTransitions transitionsBetween(ResultPoint from, ResultPoint to)
{
// See QR Code Detector, sizeOfBlackWhiteBlackRun()
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int fromX = (int) from.X;
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int fromY = (int) from.Y;
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int toX = (int) to.X;
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int toY = (int) to.Y;
bool steep = System.Math.Abs(toY - fromY) > System.Math.Abs(toX - fromX);
if (steep)
{
int temp = fromX;
fromX = fromY;
fromY = temp;
temp = toX;
toX = toY;
toY = temp;
}
int dx = System.Math.Abs(toX - fromX);
int dy = System.Math.Abs(toY - fromY);
int error = - dx >> 1;
int ystep = fromY < toY?1:- 1;
int xstep = fromX < toX?1:- 1;
int transitions = 0;
bool inBlack = image.get_Renamed(steep?fromY:fromX, steep?fromX:fromY);
for (int x = fromX, y = fromY; x != toX; x += xstep)
{
bool isBlack = image.get_Renamed(steep?y:x, steep?x:y);
if (isBlack != inBlack)
{
transitions++;
inBlack = isBlack;
}
error += dy;
if (error > 0)
{
if (y == toY)
{
break;
}
y += ystep;
error -= dx;
}
}
return new ResultPointsAndTransitions(from, to, transitions);
}
/// <summary> <p>Computes an average estimated module size based on estimated derived from the positions
/// of the three finder patterns.</p>
/// </summary>
protected internal virtual float calculateModuleSize(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft)
{
// Take the average
return (calculateModuleSizeOneWay(topLeft, topRight) + calculateModuleSizeOneWay(topLeft, bottomLeft)) / 2.0f;
}
protected internal virtual DetectorResult processFinderPatternInfo(FinderPatternInfo info)
{
FinderPattern topLeft = info.TopLeft;
FinderPattern topRight = info.TopRight;
FinderPattern bottomLeft = info.BottomLeft;
float moduleSize = calculateModuleSize(topLeft, topRight, bottomLeft);
if (moduleSize < 1.0f)
{
throw ReaderException.Instance;
}
int dimension = computeDimension(topLeft, topRight, bottomLeft, moduleSize);
Version provisionalVersion = Version.getProvisionalVersionForDimension(dimension);
int modulesBetweenFPCenters = provisionalVersion.DimensionForVersion - 7;
AlignmentPattern alignmentPattern = null;
// Anything above version 1 has an alignment pattern
if (provisionalVersion.AlignmentPatternCenters.Length > 0)
{
// Guess where a "bottom right" finder pattern would have been
float bottomRightX = topRight.X - topLeft.X + bottomLeft.X;
float bottomRightY = topRight.Y - topLeft.Y + bottomLeft.Y;
// Estimate that alignment pattern is closer by 3 modules
// from "bottom right" to known top left location
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
float correctionToTopLeft = 1.0f - 3.0f / (float) modulesBetweenFPCenters;
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int estAlignmentX = (int) (topLeft.X + correctionToTopLeft * (bottomRightX - topLeft.X));
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
int estAlignmentY = (int) (topLeft.Y + correctionToTopLeft * (bottomRightY - topLeft.Y));
// Kind of arbitrary -- expand search radius before giving up
for (int i = 4; i <= 16; i <<= 1)
{
try
{
//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
alignmentPattern = findAlignmentInRegion(moduleSize, estAlignmentX, estAlignmentY, (float) i);
break;
}
catch (ReaderException)
{
// try next round
}
}
// If we didn't find alignment pattern... well try anyway without it
}
PerspectiveTransform transform = createTransform(topLeft, topRight, bottomLeft, alignmentPattern, dimension);
BitMatrix bits = sampleGrid(image, transform, dimension);
ResultPoint[] points;
if (alignmentPattern == null)
{
points = new ResultPoint[]{bottomLeft, topLeft, topRight};
}
else
{
points = new ResultPoint[]{bottomLeft, topLeft, topRight, alignmentPattern};
}
return new DetectorResult(bits, points);
}
/// <summary> Computes the dimension (number of modules in a row) of the PDF417 Code
/// based on vertices of the codeword area and estimated module size.
///
/// </summary>
/// <param name="topLeft"> of codeword area
/// </param>
/// <param name="topRight"> of codeword area
/// </param>
/// <param name="bottomLeft"> of codeword area
/// </param>
/// <param name="bottomRight">of codeword are
/// </param>
/// <param name="moduleWidth">estimated module size
/// </param>
/// <returns> the number of modules in a row.
/// </returns>
private static int computeDimension(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft, ResultPoint bottomRight, float moduleWidth)
{
int topRowDimension = round(ResultPoint.distance(topLeft, topRight) / moduleWidth);
int bottomRowDimension = round(ResultPoint.distance(bottomLeft, bottomRight) / moduleWidth);
return ((((topRowDimension + bottomRowDimension) >> 1) + 8) / 17) * 17;
/*
* int topRowDimension = round(ResultPoint.distance(topLeft,
* topRight)); //moduleWidth); int bottomRowDimension =
* round(ResultPoint.distance(bottomLeft, bottomRight)); //
* moduleWidth); int dimension = ((topRowDimension + bottomRowDimension)
* >> 1); // Round up to nearest 17 modules i.e. there are 17 modules per
* codeword //int dimension = ((((topRowDimension + bottomRowDimension) >>
* 1) + 8) / 17) * 17; return dimension;
*/
}
/// <summary> <p>Estimates module size (pixels in a module) based on the Start and End
/// finder patterns.</p>
///
/// </summary>
/// <param name="vertices">an array of vertices:
/// vertices[0] x, y top left barcode
/// vertices[1] x, y bottom left barcode
/// vertices[2] x, y top right barcode
/// vertices[3] x, y bottom right barcode
/// vertices[4] x, y top left codeword area
/// vertices[5] x, y bottom left codeword area
/// vertices[6] x, y top right codeword area
/// vertices[7] x, y bottom right codeword area
/// </param>
/// <returns> the module size.
/// </returns>
private static float computeModuleWidth(ResultPoint[] vertices)
{
float pixels1 = ResultPoint.distance(vertices[0], vertices[4]);
float pixels2 = ResultPoint.distance(vertices[1], vertices[5]);
float moduleWidth1 = (pixels1 + pixels2) / (17 * 2.0f);
float pixels3 = ResultPoint.distance(vertices[6], vertices[2]);
float pixels4 = ResultPoint.distance(vertices[7], vertices[3]);
float moduleWidth2 = (pixels3 + pixels4) / (18 * 2.0f);
return (moduleWidth1 + moduleWidth2) / 2.0f;
}
/// <summary> Increments the Integer associated with a key by one.</summary>
private static void increment(System.Collections.Hashtable table, ResultPoint key)
{
//System.Int32 value_Renamed = (System.Int32) table[key];
////UPGRADE_TODO: The 'System.Int32' structure does not have an equivalent to NULL. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1291'"
//table[key] = value_Renamed == null?INTEGERS[1]:INTEGERS[value_Renamed + 1];
// Redivivus.in Java to c# Porting update
// 30/01/2010
// Added
// START
System.Int32 value_Renamed = 0;
try
{
if (table.Count > 0)
value_Renamed = (System.Int32)table[key];
}
catch
{
value_Renamed = 0;
}
table[key] = value_Renamed == 0 ? INTEGERS[1] : INTEGERS[value_Renamed + 1];
//END
}
