├── .gitignore
├── LICENSE
├── MRZ_chars.doc
├── OCRB
├── 0.png
├── 1.png
├── 2.png
├── 3.png
├── 4.png
├── 5.png
├── 6.png
├── 7.png
├── 8.png
├── 9.png
├── <.png
├── A.png
├── B.png
├── C.png
├── D.png
├── E.png
├── F.png
├── G.png
├── H.png
├── I.png
├── J.png
├── K.png
├── L.png
├── M.png
├── N.png
├── O.png
├── P.png
├── Q.png
├── R.png
├── S.png
├── T.png
├── U.png
├── V.png
├── W.png
├── X.png
├── Y.png
└── Z.png
├── README.md
├── detect.cpp
├── examples
├── passport_01.jpg
├── passport_02.jpg
├── passport_03.jpg
├── passport_04.jpg
├── passport_05.jpg
└── passport_06.jpg
├── find_mrz.cpp
├── find_mrz.h
├── mrz.cpp
├── mrz.h
├── ocrb.png
├── tessdata
└── eng.traineddata
└── test_data
├── mrz_example_01.jpg
├── mrz_example_02.jpg
├── mrz_example_03.jpg
├── mrz_example_04.jpg
├── mrz_example_05.jpg
└── mrz_example_06.jpg
/.gitignore:
--------------------------------------------------------------------------------
1 | .cproject
2 | .project
3 | .settings
4 | Debug
5 | Release
6 | training.data
7 |
--------------------------------------------------------------------------------
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1 | # passport_mrz_detector_cpp
2 | Detects Machine Readable Zones in images of identity documents such as passports.
3 | C++ port of http://www.pyimagesearch.com/2015/11/30/detecting-machine-readable-zones-in-passport-images/
4 |
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/detect.cpp:
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1 | #include
2 | #include
3 |
4 | #include
5 | #include
6 | #include
7 | #include
8 | #include
9 | #include
10 | #include
11 | #include
12 | #include
13 |
14 | #include "debug.h"
15 | #include "ocr.h"
16 | #include "mrz.h"
17 | #include "RecogniserKNearest.h"
18 | #include "RecogniserAbsDiff.h"
19 | #include "find_mrz.h"
20 | #include "find_borders.h"
21 | #include "getcwd.h"
22 | #include "file_capture.h"
23 | #include "sliding_window_capture.h"
24 |
25 | using namespace std;
26 | using namespace cv;
27 | using namespace ocr;
28 |
29 | #if 0
30 | #define USE_TESSERACT
31 | #endif
32 | #define CHAR_SIZE_TOLERANCE 0.15
33 | #define MRZ_LINE_SPACING 1.0
34 | #define TRAINING_DATA_FILENAME "training.data"
35 |
36 | #if 1
37 | #define DISPLAY_INTERMEDIATE_IMAGES
38 | #endif
39 |
40 | static void calc_char_cell(const Size &mrz_size, Size &char_min, Size &char_max,
41 | MRZ *mrz = NULL)
42 | {
43 | unsigned int min_lines, max_lines;
44 | unsigned int min_chars_per_line, max_chars_per_line;
45 | if (NULL == mrz) {
46 | min_chars_per_line = MRZ::getMinCharsPerLine();
47 | max_chars_per_line = MRZ::getMaxCharsPerLine();
48 | min_lines = MRZ::getMinLineCount();
49 | max_lines = MRZ::getMaxLineCount();
50 | } else {
51 | min_chars_per_line = mrz->getCharsPerLine();
52 | max_chars_per_line = min_chars_per_line;
53 | min_lines = mrz->getLineCount();
54 | max_lines = min_lines;
55 | }
56 | // Account for inter-line spacing
57 | min_lines *= MRZ_LINE_SPACING + 1;
58 | min_lines -= 1;
59 | max_lines *= MRZ_LINE_SPACING + 1;
60 | max_lines -= 1;
61 | char_min = Size((double) mrz_size.width / (double) max_chars_per_line,
62 | (double) mrz_size.height / (double) max_lines);
63 | char_max = Size((double) mrz_size.width / (double) min_chars_per_line,
64 | (double) mrz_size.height / (double) min_lines);
65 | // Add a tolerance
66 | char_min.width /= (1 + CHAR_SIZE_TOLERANCE);
67 | char_min.height /= (1 + CHAR_SIZE_TOLERANCE);
68 | char_max.width *= (1 + CHAR_SIZE_TOLERANCE);
69 | char_max.height *= (1 + CHAR_SIZE_TOLERANCE);
70 | #if 0
71 | cerr << "Char min rect: " << char_min << endl;
72 | cerr << "Char max rect: " << char_max << endl;
73 | #endif
74 | // Additional tuning for minimum width.
75 | // Although OCR B is monospaced, some character glyphs are much narrower than others.
76 | char_min.width *= 0.25;
77 | // Additional tuning for minimum height.
78 | // Line spacing varies widely.
79 | char_min.height *= 0.75;
80 | }
81 |
82 | static bool is_character(const Rect boundingRect, const Size &minSize,
83 | const Size &maxSize)
84 | {
85 | return boundingRect.width >= minSize.width
86 | && boundingRect.height >= minSize.height
87 | && boundingRect.width <= maxSize.width
88 | && boundingRect.height <= maxSize.height;
89 | }
90 |
91 | static void find_character_bboxes(const Mat &image, const Rect &borders, vector &char_bboxes,
92 | MRZ *mrz = NULL)
93 | {
94 | vector > contours;
95 | Mat work = image.clone();
96 | findContours(work, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE, borders.tl());
97 | Size char_min, char_max;
98 | calc_char_cell(image.size(), char_min, char_max, mrz);
99 | for_each(
100 | contours.begin(), contours.end(),
101 | [&char_bboxes, char_min, char_max, &work]
102 | (vector &contour) {
103 | Rect br = boundingRect(contour);
104 | if (is_character(br, char_min, char_max)) {
105 | // dump_rect("Character", br);
106 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
107 | drawContours(work, contour, -1, Scalar(1, 1, 1));
108 | #endif
109 | char_bboxes.push_back(br);
110 | } else {
111 | // Not the right size
112 | dump_rect("Rejected char", br);
113 | }
114 | }
115 | );
116 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
117 | display_image("Character contours", work);
118 | #endif
119 | }
120 |
121 | static void assign_to_lines(const Size &image_size,
122 | const vector &char_bboxes, vector > &lines,
123 | vector &indeterminate)
124 | {
125 | for_each(char_bboxes.begin(), char_bboxes.end(),
126 | [image_size, &lines, &indeterminate](const Rect &bbox) {
127 | unsigned int line_num;
128 | bool found = false;
129 | for (line_num = 0; line_num < lines.size(); line_num++) {
130 | int top = image_size.height * line_num / lines.size();
131 | int middle = image_size.height * (line_num + 0.5) / lines.size();
132 | int bottom = image_size.height * (line_num + 1) / lines.size();
133 | if (
134 | bbox.y >= top && bbox.y + bbox.height <= bottom &&
135 | abs((bbox.y + bbox.y + bbox.height) / 2 - middle) < abs(image_size.height / (3 * lines.size()))
136 | ) {
137 | found = true;
138 | break;
139 | }
140 | }
141 | if (found) {
142 | lines[line_num].push_back(bbox);
143 | } else {
144 | indeterminate.push_back(bbox);
145 | }
146 | });
147 | }
148 |
149 | static float confidence_type(const Size &image_size,
150 | vector > &lines, unsigned int chars_per_line,
151 | const vector &char_bboxes, vector &indeterminate)
152 | {
153 | if (char_bboxes.size() < lines.size() * chars_per_line / 2) {
154 | return 0; // Less than 50% characters recognised
155 | }
156 | assign_to_lines(image_size, char_bboxes, lines, indeterminate);
157 | if (indeterminate.size() > char_bboxes.size() / 5) {
158 | return 0; // More than 20% of characters not aligned
159 | }
160 | unsigned int num_aligned = 0;
161 | for (unsigned int line_num = 0; line_num < lines.size(); line_num++) {
162 | if (lines[line_num].size() > chars_per_line) {
163 | return 0; // Line too long
164 | }
165 | num_aligned += lines[line_num].size();
166 | }
167 | return static_cast(num_aligned)
168 | / static_cast(lines.size() * chars_per_line);
169 | }
170 |
171 | /**
172 | * Forcible assign the previously indeterminate bounding rectangles
173 | * to whichever of the given lines of char bboxes they are closest to.
174 | */
175 | void assign_indeterminate(vector &indeterminate, vector > &lines)
176 | {
177 | vector average_line_midpoints;
178 | for_each(lines.begin(), lines.end(), [&average_line_midpoints](const vector &line) {
179 | unsigned int m = 0;
180 | for_each(line.begin(), line.end(), [&m](const Rect &r) {
181 | m += r.y + r.height / 2;
182 | });
183 | average_line_midpoints.push_back(m / line.size());
184 | });
185 | #if 0
186 | for_each(average_line_midpoints.begin(), average_line_midpoints.end(), [](unsigned int average_line_midpoint) {
187 | cerr << "Average line midpoint: " << average_line_midpoint << endl;
188 | });
189 | #endif
190 | for_each(indeterminate.begin(), indeterminate.end(), [&lines, average_line_midpoints](const Rect &r) {
191 | unsigned int i = 0;
192 | int smallest_voffset = -1;
193 | unsigned int closest_line_idx = 0;
194 | for_each(average_line_midpoints.begin(), average_line_midpoints.end(), [r, &i, &smallest_voffset, &closest_line_idx](unsigned int average_line_midpoint) {
195 | int voffset = std::abs(r.y + r.height / 2 - static_cast(average_line_midpoint));
196 | if (-1 == smallest_voffset || voffset < smallest_voffset) {
197 | smallest_voffset = voffset;
198 | closest_line_idx = i;
199 | }
200 | i++;
201 | });
202 | lines[closest_line_idx].push_back(r);
203 | });
204 | }
205 |
206 | static void fixup_missing_chars(const Mat &image, vector > &lines,
207 | MRZ &mrz)
208 | {
209 | unsigned int num_expected = mrz.getLineCount() * mrz.getCharsPerLine();
210 | unsigned int num_found = 0;
211 | for_each(lines.begin(), lines.end(), [&num_found](vector &line) {
212 | // cerr << "Chars this line: " << line.size() << endl;
213 | num_found += line.size();
214 | });
215 | if (num_found < num_expected) {
216 | cerr << "Only found " << num_found << " of " << num_expected << " chars. Interpolating." << endl;
217 | }
218 | unsigned int expected_width = image.cols / mrz.getCharsPerLine();
219 | unsigned int expected_height = image.rows / mrz.getLineCount();
220 | unsigned int expected_x = 0;
221 | MRZ *pmrz = &mrz;
222 | for_each(lines.begin(), lines.end(), [&num_found, lines, pmrz](vector &line) {
223 | if (lines.size() != pmrz->getCharsPerLine()) {
224 | // unsigned int expected_y = TODO;
225 | for (vector::size_type i = 0; i < line.size(); i++) {
226 | ;
227 | }
228 | }
229 | });
230 | }
231 |
232 | static void sort_lines(vector > &lines)
233 | {
234 | for_each(lines.begin(), lines.end(), [](vector &line) {
235 | sort(line.begin(), line.end(), [](const Rect &r1, const Rect &r2) {
236 | return r1.x < r2.x;
237 | });
238 | });
239 | }
240 |
241 | static bool find_chars(
242 | const Mat &image,
243 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
244 | Mat &draw_image,
245 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
246 | vector > &lines
247 | )
248 | {
249 | assert(image.size() == draw_image.size());
250 | Rect borders = find_borders(image);
251 | Mat cropped = image(borders);
252 | cropped = 255 - cropped;
253 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
254 | display_image("Inverted cropped ROI", cropped);
255 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
256 | vector bboxes;
257 | find_character_bboxes(cropped, borders, bboxes);
258 | // cerr << "Bbox count: " << bboxes.size() << endl;
259 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
260 | for_each(bboxes.begin(), bboxes.end(), [&draw_image, borders](const Rect &bbox) {
261 | rectangle(draw_image, bbox, Scalar(0, 0, 255));
262 | });
263 | display_image("Char bboxes", draw_image);
264 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
265 | MRZ *chosen_mrz = NULL;
266 | MRZType1 mrz1;
267 | MRZType2 mrz2;
268 | MRZType3 mrz3;
269 | vector indeterminate_type_1;
270 | vector > lines_type_1(
271 | mrz1.getLineCount());
272 | float conf_type_1 = confidence_type(cropped.size(), lines_type_1, mrz1.getCharsPerLine(), bboxes,
273 | indeterminate_type_1);
274 | vector indeterminate_type_2;
275 | vector > lines_type_2(
276 | mrz2.getLineCount());
277 | float conf_type_2 = confidence_type(cropped.size(), lines_type_2, mrz2.getCharsPerLine(), bboxes,
278 | indeterminate_type_2);
279 | vector indeterminate_type_3;
280 | vector > lines_type_3(
281 | mrz3.getLineCount());
282 | float conf_type_3 = confidence_type(cropped.size(), lines_type_3, mrz3.getCharsPerLine(), bboxes,
283 | indeterminate_type_3);
284 | if (conf_type_1 > max({ conf_type_2, conf_type_3, 0.75f })) {
285 | cerr << "Looks like type 1" << endl;
286 | chosen_mrz = &mrz1;
287 | lines = lines_type_1;
288 | assign_indeterminate(indeterminate_type_1, lines);
289 | } else if (conf_type_2 > max({ conf_type_1, conf_type_3, 0.75f })) {
290 | cerr << "Looks like type 2" << endl;
291 | chosen_mrz = &mrz2;
292 | lines = lines_type_2;
293 | assign_indeterminate(indeterminate_type_2, lines);
294 | } else if (conf_type_3 > max({ conf_type_1, conf_type_2, 0.75f })) {
295 | cerr << "Looks like type 3" << endl;
296 | chosen_mrz = &mrz3;
297 | lines = lines_type_3;
298 | assign_indeterminate(indeterminate_type_3, lines);
299 | } else {
300 | cerr << "Indeterminate type: " << conf_type_1 << " confidence Type 1, "
301 | << conf_type_2 << " confidence Type 2, "
302 | << conf_type_3 << " confidence Type 3" << endl;
303 | }
304 |
305 | if (NULL == chosen_mrz) {
306 | return false;
307 | }
308 |
309 | sort_lines(lines);
310 | fixup_missing_chars(cropped, lines, *chosen_mrz);
311 |
312 | return true;
313 | }
314 |
315 | static void process(Mat &original)
316 | {
317 | Mat roiImage;
318 | if (!find_mrz(original, roiImage)) {
319 | cerr << "No MRZ found" << endl;
320 | return;
321 | }
322 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
323 | display_image("ROI", roiImage);
324 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
325 | Mat roi_grey;
326 | cvtColor(roiImage, roi_grey, COLOR_BGR2GRAY);
327 | #if 1
328 | Mat roi_thresh;
329 | threshold(roi_grey, roi_thresh, 0, 255, THRESH_BINARY | THRESH_OTSU);
330 | #if 0 && defined(DISPLAY_INTERMEDIATE_IMAGES)
331 | display_image("ROI threshold", roi_thresh);
332 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
333 | #endif
334 | #ifdef USE_TESSERACT
335 | vector buf;
336 | imencode(".bmp", roi_thresh, buf);
337 | string data_dir = getcwd();
338 | data_dir.append("/tessdata");
339 | cerr << "data dir: " << data_dir << endl;
340 | RecogniserTesseract tess("eng", &data_dir[0], MRZ::charset);
341 | tess.set_image_bmp(&buf[0]);
342 | tess.ocr();
343 | #elif defined(USE_K_NEAREST)
344 | vector > lines;
345 | if (find_chars(roi_thresh, lines)) {
346 | string text;
347 | RecogniserKNearest recogniser(TRAINING_DATA_FILENAME);
348 | recogniser.recognise_lines(roiImage, lines, text);
349 | cerr << "Recognised text: " << text << endl;
350 | #if 0 || defined(DISPLAY_INTERMEDIATE_IMAGES)
351 | display_image("Original", original);
352 | #endif /* 1 || DISPLAY_INTERMEDIATE_IMAGES */
353 | }
354 | #else /* !defined(USE_TESSERACT) && !defined(USE_K_NEAREST) */
355 | vector > lines;
356 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
357 | Mat drawImage = roiImage.clone();
358 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
359 | if (find_chars(
360 | roi_thresh,
361 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
362 | drawImage,
363 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
364 | lines
365 | )
366 | ) {
367 | string text;
368 | RecogniserAbsDiff recogniser(MRZ::charset, "OCRB");
369 | recogniser.recognise(roi_grey, lines, text);
370 | cerr << "Recognised text: " << text << endl;
371 | }
372 | #endif /* ndef USE_TESSERACT */
373 | }
374 |
375 | static int process_cmdline_args(int argc, char *argv[])
376 | {
377 | char **arg;
378 | int ret = EXIT_SUCCESS;
379 |
380 | for (arg = &argv[1]; arg < &argv[argc]; arg++) {
381 | Mat input = imread(*arg);
382 | if (input.data) {
383 | process(input);
384 | } else {
385 | cerr << "Failed to load image from " << *arg << endl;
386 | ret = EXIT_FAILURE;
387 | break;
388 | }
389 | }
390 |
391 | return ret;
392 | }
393 |
394 | int train(void)
395 | {
396 | // cout << getBuildInformation() << endl;
397 | Mat img = imread("ocrb.png");
398 | SlidingWindowCapture image_source(img, Size(70, 115), Point(70 + 2));
399 | RecogniserKNearest::learnOcr(image_source, MRZ::charset,
400 | TRAINING_DATA_FILENAME);
401 |
402 | return EXIT_SUCCESS;
403 | }
404 |
405 | int main(int argc, char *argv[])
406 | {
407 | log4cpp::Appender *consoleAppender = new log4cpp::OstreamAppender("console",
408 | &std::cerr);
409 | log4cpp::Category& root = log4cpp::Category::getRoot();
410 | root.setPriority(log4cpp::Priority::getPriorityValue("DEBUG"));
411 | consoleAppender->setLayout(new log4cpp::SimpleLayout());
412 | root.addAppender(consoleAppender);
413 | // train();
414 | return process_cmdline_args(argc, argv);
415 | }
416 |
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/find_mrz.cpp:
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1 | #include "find_mrz.h"
2 |
3 | using namespace cv;
4 |
5 | bool find_mrz(const Mat &original, Mat &mrz)
6 | {
7 | // initialize a rectangular and square structuring kernel
8 | Mat rectKernel = getStructuringElement(MORPH_RECT, Size(13, 5));
9 | Mat sqKernel = getStructuringElement(MORPH_RECT, Size(21, 21));
10 |
11 | // resize the image and convert it to grayscale
12 | Mat image;
13 | resize(original, image, Size(original.size().width * 600 / original.size().height, 600));
14 | Mat gray;
15 | cvtColor(image, gray, COLOR_BGR2GRAY);
16 |
17 | // smooth the image using a 3x3 Gaussian, then apply the blackhat
18 | // morphological operator to find dark regions on a light background
19 | GaussianBlur(gray, gray, Size(3, 3), 0);
20 | Mat blackhat;
21 | morphologyEx(gray, blackhat, MORPH_BLACKHAT, rectKernel);
22 |
23 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
24 | display_image("Blackhat", blackhat);
25 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
26 |
27 | // compute the Scharr gradient of the blackhat image and scale the
28 | // result into the range [0, 255]
29 | Mat gradX;
30 | Sobel(blackhat, gradX, CV_32F, 1, 0, -1);
31 | gradX = abs(gradX);
32 | double minVal, maxVal;
33 | minMaxIdx(gradX, &minVal, &maxVal);
34 | Mat gradXfloat = (255 * ((gradX - minVal) / (maxVal - minVal)));
35 | gradXfloat.convertTo(gradX, CV_8UC1);
36 |
37 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
38 | display_image("Gx", gradX);
39 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
40 |
41 | // apply a closing operation using the rectangular kernel to close
42 | // gaps in between letters -- then apply Otsu's thresholding method
43 | morphologyEx(gradX, gradX, MORPH_CLOSE, rectKernel);
44 | Mat thresh;
45 | threshold(gradX, thresh, 0, 255, THRESH_BINARY | THRESH_OTSU);
46 |
47 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
48 | display_image("Horizontal closing", thresh);
49 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
50 |
51 | // perform another closing operation, this time using the square
52 | // kernel to close gaps between lines of the MRZ, then perform a
53 | // series of erosions to break apart connected components
54 | morphologyEx(thresh, thresh, MORPH_CLOSE, sqKernel);
55 | Mat nullKernel;
56 | erode(thresh, thresh, nullKernel, Point(-1, -1), 4);
57 |
58 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
59 | display_image("Vertical closing", thresh);
60 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
61 |
62 | // during thresholding, it's possible that border pixels were
63 | // included in the thresholding, so let's set 5% of the left and
64 | // right borders to zero
65 | double p = image.size().height * 0.05;
66 | thresh = thresh(Rect(p, p, image.size().width - 2 * p, image.size().height - 2 * p));
67 |
68 | #ifdef DISPLAY_INTERMEDIATE_IMAGES
69 | display_image("Border removal", thresh);
70 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
71 |
72 | // find contours in the thresholded image and sort them by their
73 | // size
74 | vector > contours;
75 | findContours(thresh, contours, RETR_EXTERNAL,
76 | CHAIN_APPROX_SIMPLE);
77 | // Sort the contours in decreasing area
78 | sort(contours.begin(), contours.end(), [](const vector& c1, const vector& c2){
79 | return contourArea(c1, false) > contourArea(c2, false);
80 | });
81 |
82 | // Find the first contour with the right aspect ratio and a large width relative to the width of the image
83 | Rect roiRect(0, 0, 0, 0);
84 | vector >::iterator border_iter = find_if(contours.begin(), contours.end(), [&roiRect, gray](vector &contour) {
85 | // compute the bounding box of the contour and use the contour to
86 | // compute the aspect ratio and coverage ratio of the bounding box
87 | // width to the width of the image
88 | roiRect = boundingRect(contour);
89 | // dump_rect("Bounding rect", roiRect);
90 | // pprint([x, y, w, h])
91 | double aspect = (double) roiRect.size().width / (double) roiRect.size().height;
92 | double coverageWidth = (double) roiRect.size().width / (double) gray.size().height;
93 | // cerr << "aspect=" << aspect << "; coverageWidth=" << coverageWidth << endl;
94 | // check to see if the aspect ratio and coverage width are within
95 | // acceptable criteria
96 | if (aspect > 5 and coverageWidth > 0.5) {
97 | return true;
98 | }
99 | return false;
100 | });
101 |
102 | if (border_iter == contours.end()) {
103 | return false;
104 | }
105 |
106 | // Correct ROI for border removal offset
107 | roiRect += Point(p, p);
108 | // pad the bounding box since we applied erosions and now need
109 | // to re-grow it
110 | int pX = (roiRect.x + roiRect.size().width) * 0.03;
111 | int pY = (roiRect.y + roiRect.size().height) * 0.03;
112 | roiRect -= Point(pX, pY);
113 | roiRect += Size(pX * 2, pY * 2);
114 | // Ensure ROI is within image
115 | roiRect &= Rect(0, 0, image.size().width, image.size().height);
116 | // Make it relative to original image again
117 | float scale = static_cast(original.size().width) / static_cast(image.size().width);
118 | roiRect.x *= scale;
119 | roiRect.y *= scale;
120 | roiRect.width *= scale;
121 | roiRect.height *= scale;
122 | mrz = original(roiRect);
123 |
124 | #if 0 || defined(DISPLAY_INTERMEDIATE_IMAGES)
125 | // Draw a bounding box surrounding the MRZ
126 | Mat display_roi = original.clone();
127 | rectangle(display_roi, roiRect, Scalar(0, 255, 0), 2);
128 | display_image("MRZ detection results", display_roi);
129 | #endif /* DISPLAY_INTERMEDIATE_IMAGES */
130 |
131 | return true;
132 | }
133 |
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/find_mrz.h:
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1 | #ifndef FIND_MRZ_H
2 | #define FIND_MRZ_H 1
3 |
4 | #include
5 |
6 | bool find_mrz(const cv::Mat &original, cv::Mat &mrz);
7 |
8 | #endif /* FIND_MRZ_H */
9 |
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/mrz.cpp:
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1 | #include "mrz.h"
2 |
3 | const std::string MRZ::charset = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789<";
4 |
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/mrz.h:
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1 | #ifndef MRZ_H
2 | #define MRZ_H 1
3 |
4 | #include
5 | #include
6 |
7 | class MRZ {
8 | public:
9 | MRZ(void) {};
10 | virtual ~MRZ() {};
11 | static unsigned int getMinCharsPerLine(void) { return 30; }
12 | static unsigned int getMaxCharsPerLine(void) { return 44; }
13 | static unsigned int getMinLineCount(void) { return 2; }
14 | static unsigned int getMaxLineCount(void) { return 3; }
15 | virtual unsigned int getCharsPerLine(void) const = 0;
16 | virtual unsigned int getLineCount(void) const = 0;
17 | static const std::string charset;
18 | };
19 |
20 | class MRZType1 : public MRZ {
21 | public:
22 | virtual unsigned int getCharsPerLine(void) const { return 30; };
23 | virtual unsigned int getLineCount(void) const { return 3; };
24 | };
25 |
26 | class MRZType2 : public MRZ {
27 | public:
28 | virtual unsigned int getCharsPerLine(void) const { return 36; };
29 | virtual unsigned int getLineCount(void) const { return 2; };
30 | };
31 |
32 | class MRZType3 : public MRZ {
33 | public:
34 | virtual unsigned int getCharsPerLine(void) const { return 44; };
35 | virtual unsigned int getLineCount(void) const { return 2; };
36 | };
37 |
38 | #endif /* MRZ_H */
39 |
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