public static BankCardRecognitionModel GetBankCardRecognitionString(string token, string imagePath, ref string recognitionString, out string errorMsg)
        {
            bool resultState = true;
            BankCardRecognitionModel tempModel = new BankCardRecognitionModel();

            errorMsg = "";
            try
            {
                #region 基础校验
                string verificationMsg = "";
                errorMsg = "";
                bool isVerification = ImageVerification.VerificationImage(imagePath, out verificationMsg);
                if (!isVerification)
                {
                    errorMsg          += verificationMsg;
                    tempModel.state    = false;
                    tempModel.errorMsg = errorMsg;
                    return(tempModel);
                }
                //注意,转换时候 一直传递是 接口适配的文件类型,所有图片的类型转换很关键
                string   strbaser64     = ConvertDataFormatAndImage.ImageToByte64String(imagePath, System.Drawing.Imaging.ImageFormat.Jpeg); // 图片的base64编码
                Encoding encoding       = Encoding.Default;
                string   urlEncodeImage = HttpUtility.UrlEncode(strbaser64);

                byte[] tempBuffer = encoding.GetBytes(urlEncodeImage);

                if (tempBuffer.Length > 1024 * 1024 * 4)
                {
                    errorMsg          += "图片加密 后的大小超过4MB!";
                    recognitionString  = "";
                    tempModel.state    = false;
                    tempModel.errorMsg = errorMsg;
                    return(tempModel);
                }
                #endregion

                #region 请求接口
                recognitionString = "";

                string host       = "https://aip.baidubce.com/rest/2.0/ocr/v1/bankcard?access_token=" + token;
                String str        = "&image=" + HttpUtility.UrlEncode(strbaser64);
                var    tempResult = HttpRequestHelper.Post(host, str);
                recognitionString    = tempResult;
                tempModel.returnJson = tempResult;

                if (recognitionString.Contains("\"error_code\""))//说明异常
                {
                    resultState              = false;
                    tempModel.state          = false;
                    tempModel.errorTypeModel = Json.ToObject <Model.ErrorTypeModel>(tempResult);
                    tempModel.errorTypeModel.error_discription = OCR_CharacterRecognitionErrorType.GetErrorCodeToDescription(tempModel.errorTypeModel.error_code);
                }
                else
                {
                    tempModel.state        = true;
                    tempModel.successModel = Json.ToObject <BankCardSuccessResultModel>(tempResult);
                }
                #endregion

                return(tempModel);
            }
            catch (Exception ex)//接口外部异常,如网络异常
            {
                resultState        = false;
                errorMsg           = ex.ToString();
                tempModel.state    = false;
                tempModel.errorMsg = ex.ToString();
                return(tempModel);
            }
        }
        // 身份证识别

        /// <summary>
        /// 身份证识别
        /// </summary>
        /// <param name="token">Accesstoken</param>
        /// <param name="imagePath">图片路径</param>
        /// <param name="recognitionString">识别结果</param>
        /// <param name="errorMsg">错误信息</param>
        /// <param name="id_card_side"> front:身份证正面;back:身份证背面</param>
        /// <param name="detect_direction">是否检测图像朝向,默认不检测,即:false。朝向是指输入图像是正常方向、逆时针旋转90/180/270度。可选值包括:- true:检测朝向;- false:不检测朝向。</param>
        /// <param name="detect_risk"> string 类型 是否开启身份证风险类型(身份证复印件、临时身份证、身份证翻拍、修改过的身份证)功能,默认不开启,即:false。可选值:true-开启;false-不开启</param>
        /// <returns>结果状态</returns>
        public static APIBaseModel <IDCardRecognitionModel> GetIdcardRecognitionString(string token, string imagePath, ref string recognitionString, out string errorMsg, string id_card_side = "front", bool detect_direction = false, string detect_risk = "false")
        {
            bool resultState = true;

            APIBaseModel <IDCardRecognitionModel> tempModel = new APIBaseModel <IDCardRecognitionModel>();

            tempModel.contextModel = new IDCardRecognitionModel();

            string strbaser64 = "";

            try
            {
                #region 基础校验
                string verificationMsg = "";
                errorMsg = "";
                var verifyResult = ImageVerification.VerificationImage <IDCardRecognitionModel>(imagePath, System.Drawing.Imaging.ImageFormat.Jpeg, tempModel, out verificationMsg, out strbaser64);
                if (!verifyResult.state)
                {
                    return(verifyResult);
                }

                #region 基础校验 早期版本
                //string verificationMsg = "";
                //errorMsg = "";
                //bool isVerification = ImageVerification.VerificationImage(imagePath, out verificationMsg);
                //if (!isVerification)
                //{

                //    errorMsg += verificationMsg;
                //    tempModel.state = false;
                //    tempModel.errorMsg = errorMsg;
                //    return tempModel;
                //}
                //string strbaser64 = ConvertDataFormatAndImage.ImageToByte64String(imagePath, System.Drawing.Imaging.ImageFormat.Jpeg); // 图片的base64编码
                //Encoding encoding = Encoding.Default;
                //string urlEncodeImage = HttpUtility.UrlEncode(strbaser64);

                //byte[] tempBuffer = encoding.GetBytes(urlEncodeImage);

                //if (tempBuffer.Length > 1024 * 1024 * 4)
                //{

                //    errorMsg += "图片加密 后的大小超过4MB!";
                //    recognitionString = "";
                //    tempModel.state = false;
                //    tempModel.errorMsg = errorMsg;
                //    return tempModel;

                //}
                #endregion

                #endregion


                #region 请求接口
                recognitionString = "";

                string host       = "https://aip.baidubce.com/rest/2.0/ocr/v1/idcard?access_token=" + token;
                String str        = "id_card_side=" + id_card_side + "&detect_direction=" + detect_direction + "&detect_risk=" + detect_risk + "&image=" + HttpUtility.UrlEncode(strbaser64);
                var    tempResult = HttpRequestHelper.Post(host, str);
                recognitionString = tempResult;


                if (recognitionString.Contains("\"error_code\""))//说明异常
                {
                    resultState     = false;
                    tempModel.state = false;
                    tempModel.contextModel.errorTypeModel = Json.ToObject <ErrorTypeModel>(tempResult);
                    tempModel.contextModel.errorTypeModel.error_discription = OCR_CharacterRecognitionErrorType.GetErrorCodeToDescription(tempModel.contextModel.errorTypeModel.error_code);
                }
                else
                {
                    tempModel.state = true;
                    var temp = Json.ToObject <IDCardRecognitionSuccessResultModel>(tempResult);
                    tempModel.contextModel.successModel = temp;
                }
                #endregion

                return(tempModel);
            }
            catch (Exception ex)//接口外部异常,如网络异常
            {
                resultState        = false;
                errorMsg           = ex.ToString();
                tempModel.state    = false;
                tempModel.errorMsg = ex.ToString();
                return(tempModel);
            }
        }
Example #3
0
        /// <summary>
        /// 网络图片识别,适合网络图片文字识别用于识别一些网络上背景复杂,特殊字体的文字。
        /// </summary>
        /// <param name="tempImage"></param>
        public static APIBaseModel <DrivingLicenseModel> GetWebImage(Image tempImage)
        {
            APIBaseModel <DrivingLicenseModel> tempModel = new APIBaseModel <DrivingLicenseModel>();

            tempModel.contextModel = new DrivingLicenseModel();

            var    client = new Ocr.Ocr(Config.clientId, Config.clientSecret);
            var    image  = ImageHelper.ImageToBytes(tempImage, System.Drawing.Imaging.ImageFormat.Png);
            string result = client.WebImage(image, null).ToString();

            if (result.Contains("\"error_code\""))//说明异常
            {
                tempModel.state = false;
                tempModel.contextModel.errorTypeModel = Json.ToObject <ErrorTypeModel>(result);
                tempModel.errorMsg = tempModel.contextModel.errorTypeModel.error_discription = OCR_CharacterRecognitionErrorType.GetErrorCodeToDescription(tempModel.contextModel.errorTypeModel.error_code);
            }
            else
            {
                tempModel.state = true;
                tempModel.contextModel.successModel = Json.ToObject <DrivingLicenseSuessResultModel>(result);
            }
            return(tempModel);
        }