Research on Improved Fingerprint Image Compression and Texture Region Segmentation Algorithm
Kun Liu · DOAJ (DOAJ: Directory of Open Access Journals) · 2017
Targeted at the image segmentation and compression problems commonly found in fingerprint image processing, this paper puts forward an improved image segmentation algorithm based on grayscale normalization and an improved image compression algorithm based on sparse matrix transform. The proposed algorithms are proved effective through checking computations. The research results show that: the normalization, open operation and smoothing of the original fingerprint image bring about significant improvement to image segmentation effect, effective elimination of the noise and non-texture interference information in the fingerprint image, and strong guarantee of the real-time effect of fingerprint image processing through the calculation of time periods; the redundancy of non-texture information in the image is effectively reduced by converting the fingerprint image into sparse domains, and the blocking effect is suppressed by calculating the mean grayscale and low frequency information in the image. According to the image compression experiment, the proposed algorithm demonstrates excellent rate distortion feature. The compression process preserves most of the key information features of the original image, and realizes high the imaging quality.