Fingerprint extraction and implementation based on OpenCV and Python
At present, OpenCV function library is applied more and more widely, and it is used in digital image processing to solve some problems of image processing, and it can improve the effectiveness of image processing. Commonly it is easy to cause the loss of image detail for the Otsu method, in order to solve these problems the Otsu method is improved. In the case of uneven illumination and blurred image, it can segment the target, and the result is accurate, simple and shorter running time. What's more, it can reduce the amount of computation and storage space. In general, it is a fast and effective and good real-time image threshold segmentation algorithm. This paper uses the OpenCV functions to achieve a fingerprint extraction algorithm. The algorithm uses the Otsu algorithm improved to get the best threshold that it can segment image.