Minutiae feature extraction for fingerprint images

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Symisc Systems 6 years ago committed by GitHub
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/*
* Programming introduction with the SOD Embedded Image Processing API.
* Copyright (C) PixLab | Symisc Systems, https://sod.pixlab.io
*/
/*
* Compile this file together with the SOD embedded source code to generate
* the executable. For example:
*
* gcc sod.c minutiae.c -lm -Ofast -march=native -Wall -std=c99 -o sod_img_proc
*
* Under Microsoft Visual Studio (>= 2015), just drop `sod.c` and its accompanying
* header files on your source tree and you're done. If you have any trouble
* integrating SOD in your project, please submit a support request at:
* https://sod.pixlab.io/support.html
*/
/*
* This simple program is a quick introduction on how to embed and start
* experimenting with SOD without having to do a lot of tedious
* reading and configuration.
*
* Make sure you have the latest release of SOD from:
* https://pixlab.io/downloads
* The SOD Embedded C/C++ documentation is available at:
* https://sod.pixlab.io/api.html
*/
#include <stdio.h>
#include "sod.h"
/*
* This program extracts ridges and bifurcations from a fingerprint image.
*
* Minutiae extraction is applied to skeletonized fingerprint image
*
* The target image must be binary (i.e. images whose pixels have only two possible intensity
* value mostly black or white). You can obtain a binary image via sod_canny_edge_image(),
* sod_otsu_binarize_image(), sod_binarize_image() or sod_threshold_image().
*
* More information about this process can be found at https://sod.pixlab.io/c_api/sod_minutiae.html
*/
int main(int argc, char *argv[])
{
/* Input image (pass a path or use the test image shipped with the samples ZIP archive)
*
* Minutiae extraction is applied to skeletonized fingerprint image.
*/
const char *zInput = argc > 1 ? argv[1] : "./fingerprint/fp_whole.pgm";
/* Processed output image path */
const char *zOut = argc > 2 ? argv[2] : "./out_fp.png";
/* Load the input image in the grayscale colorspace */
sod_img imgIn = sod_img_load_from_file(zInput, SOD_IMG_GRAYSCALE/* single channel colorspace (gray)*/);
if (imgIn.data == 0) {
/* Invalid path, unsupported format, memory failure, etc. */
puts("Cannot load input image..exiting");
return 0;
}
/* Binarize the input image before the thinning process */
sod_img binImg = sod_threshold_image(imgIn, 0.5);
/* Perform Hilditch thinning on this binary image. */
sod_img hildImg = sod_hilditch_thin_image(binImg);
/* Perform extraction of minutiae candidates in fingerprint image */
int total, np1, np2;
sod_img imgOut = sod_minutiae(hildImg, &total, &np1, &np2);
printf("total number of BLACK points = %d\n", total);
printf("number of ending points = %d\n", np1);
printf("number of bifurcations = %d\n\n", np2);
/* Finally save our processed image to the specified path */
sod_img_save_as_png(imgOut, zOut);
/* Cleanup */
sod_free_image(imgIn);
sod_free_image(binImg);
sod_free_image(hildImg);
sod_free_image(imgOut);
return 0;
}
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