#import <Foundation/Foundation.h> @class UIImage; typedef void (^CompleateBlock)(NSString *text); @interface RecogizeCardManager : NSObject /** * 初始化一个单例 * * @return 返回一个RecogizeCardManager的实例对象 */ + (instancetype)recognizeCardManager; /** * 根据身份证照片得到身份证号码 * * @param cardImage 传入的身份证照片 * @param compleate 识别完成后的回调 */ - (void)recognizeCardWithImage:(UIImage *)cardImage compleate:(CompleateBlock)compleate; @end
#import "RecogizeCardManager.h"
#import <opencv2/opencv.hpp>
#import <opencv2/imgproc/types_c.h>
#import <opencv2/imgcodecs/ios.h>
#import <TesseractOCR/TesseractOCR.h>
@implementation RecogizeCardManager
+ (instancetype)recognizeCardManager {
static RecogizeCardManager *recognizeCardManager = nil;
static dispatch_once_t onceToken;
dispatch_once(&onceToken, ^{
recognizeCardManager = [[RecogizeCardManager alloc] init];
});
return recognizeCardManager;
}
- (void)recognizeCardWithImage:(UIImage *)cardImage compleate:(CompleateBlock)compleate {
//扫描身份证图片,并进行预处理,定位号码区域图片并返回
UIImage *numberImage = [self opencvScanCard:cardImage];
if (numberImage == nil) {
compleate(nil);
}
//利用TesseractOCR识别文字
[self tesseractRecognizeImage:numberImage compleate:^(NSString *numbaerText) {
compleate(numbaerText);
}];
}
//扫描身份证图片,并进行预处理,定位号码区域图片并返回
- (UIImage *)opencvScanCard:(UIImage *)image {
//将UIImage转换成Mat
cv::Mat resultImage;
UIImageToMat(image, resultImage);
//转为灰度图
cvtColor(resultImage, resultImage, cv::COLOR_BGR2GRAY);
//利用阈值二值化
cv::threshold(resultImage, resultImage, 100, 255, CV_THRESH_BINARY);
//腐蚀,填充(腐蚀是让黑色点变大)
cv::Mat erodeElement = getStructuringElement(cv::MORPH_RECT, cv::Size(26,26));
cv::erode(resultImage, resultImage, erodeElement);
//轮廊检测
std::vector<std::vector<cv::Point>> contours;//定义一个容器来存储所有检测到的轮廊
cv::findContours(resultImage, contours, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
//取出身份证号码区域
std::vector<cv::Rect> rects;
cv::Rect numberRect = cv::Rect(0,0,0,0);
std::vector<std::vector<cv::Point>>::const_iterator itContours = contours.begin();
for ( ; itContours != contours.end(); ++itContours) {
cv::Rect rect = cv::boundingRect(*itContours);
rects.push_back(rect);
//算法原理
if (rect.width > numberRect.width && rect.width > rect.height * 5) {
numberRect = rect;
}
}
//身份证号码定位失败
if (numberRect.width == 0 || numberRect.height == 0) {
return nil;
}
//定位成功成功,去原图截取身份证号码区域,并转换成灰度图、进行二值化处理
cv::Mat matImage;
UIImageToMat(image, matImage);
resultImage = matImage(numberRect);
cvtColor(resultImage, resultImage, cv::COLOR_BGR2GRAY);
cv::threshold(resultImage, resultImage, 80, 255, CV_THRESH_BINARY);
//将Mat转换成UIImage
UIImage *numberImage = MatToUIImage(resultImage);
return numberImage;
}
//利用TesseractOCR识别文字
- (void)tesseractRecognizeImage:(UIImage *)image compleate:(CompleateBlock)compleate {
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_BACKGROUND, 0), ^{
G8Tesseract *tesseract = [[G8Tesseract alloc] initWithLanguage:@"eng"];
tesseract.image = [image g8_blackAndWhite];
tesseract.image = image;
// Start the recognition
[tesseract recognize];
//执行回调
compleate(tesseract.recognizedText);
});
}
#import "RecognizeCardViewController.h"
#import "RecogizeCardManager.h"
@interface RecognizeCardViewController ()<UINavigationControllerDelegate, UIImagePickerControllerDelegate>{
UIImagePickerController *imgagePickController;
}
@property (weak, nonatomic) IBOutlet UIImageView *imgView;
@property (weak, nonatomic) IBOutlet UILabel *textLabel;
- (IBAction)cameraAction:(id)sender;
- (IBAction)photoAction:(id)sender;
@end
@implementation RecognizeCardViewController
- (void)viewDidLoad {
[super viewDidLoad];
self.imgView.contentMode = UIViewContentModeScaleAspectFit;
imgagePickController = [[UIImagePickerController alloc] init];
imgagePickController.delegate = self;
imgagePickController.modalTransitionStyle = UIModalTransitionStyleFlipHorizontal;
imgagePickController.allowsEditing = YES;
}
- (void)didReceiveMemoryWarning {
[super didReceiveMemoryWarning];
// Dispose of any resources that can be recreated.
}
//拍照
- (IBAction)cameraAction:(id)sender {
//判断是否可以打开照相机
if ([UIImagePickerController isSourceTypeAvailable:UIImagePickerControllerSourceTypeCamera]) {
imgagePickController.sourceType = UIImagePickerControllerSourceTypeCamera;
//设置摄像头模式(拍照,录制视频)为拍照
imgagePickController.cameraCaptureMode = UIImagePickerControllerCameraCaptureModePhoto;
[self presentViewController:imgagePickController animated:YES completion:nil];
} else {
UIAlertView *alert = [[UIAlertView alloc] initWithTitle:@"提示" message:@"设备不能打开相机" delegate:self cancelButtonTitle:@"知道了" otherButtonTitles: nil];
[alert show];
}
}
//相册
- (IBAction)photoAction:(id)sender {
imgagePickController.sourceType = UIImagePickerControllerSourceTypePhotoLibrary;
[self presentViewController:imgagePickController animated:YES completion:nil];
}
#pragma mark - UIImagePickerControllerDelegate
//适用获取所有媒体资源,只需判断资源类型
- (void)imagePickerController:(UIImagePickerController *)picker didFinishPickingMediaWithInfo:(NSDictionary<NSString *,id> *)info{
NSString *mediaType=[info objectForKey:UIImagePickerControllerMediaType];
UIImage *srcImage = nil;
//判断资源类型
if ([mediaType isEqualToString:@"public.image"]){
srcImage = info[UIImagePickerControllerEditedImage];
self.imgView.image = srcImage;
//识别身份证
self.textLabel.text = @"图片插入成功,正在识别中...";
[[RecogizeCardManager recognizeCardManager] recognizeCardWithImage:srcImage compleate:^(NSString *text) {
if (text != nil) {
self.textLabel.text = [NSString stringWithFormat:@"识别结果:%@",text];
}else {
self.textLabel.text = @"请选择照片";
UIAlertView *alert = [[UIAlertView alloc] initWithTitle:@"提示" message:@"照片识别失败,请选择清晰、没有复杂背景的身份证照片重试!" delegate:self cancelButtonTitle:@"知道了" otherButtonTitles: nil];
[alert show];
}
}];
}
[self dismissViewControllerAnimated:YES completion:nil];
}
//进入拍摄页面点击取消按钮
- (void)imagePickerControllerDidCancel:(UIImagePickerController *)picker {
[self dismissViewControllerAnimated:YES completion:nil];
}
@end
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