Fingerprint image enhancing method

Abstract

The invention discloses a fingerprint image enhancing method, and belongs to the technical field of image processing. The method comprises the following steps of: performing gray shearing and gray stretching on fingerprint foreground region image gray to obtain fingerprint foreground region image gray2; performing Gaussian filtration on the fingerprint foreground region image gray2 by using a Gaussian filter g sigma, and calculating a normalized fingerprint gradient vector; then constructing a structure tensor, and calculating the direction field of fingerprint ridge lines; and finally, constructing two one-dimensional anisotropic filters to perform two-time filtration enhancement on the fingerprint foreground region image gray2 to obtain a final filtration enhanced fingerprint foreground region image. Based on a nonlinear diffusion model and the normalized structure tensor, the method can effectively remove various structural noises, reduce the dynamic change range between the fingerprint ridge lines and the valley lines and connect certain broken fingerprint ridge lines at the same time. The method has good enhancement effect and characteristic of effectively saving the time, and can meet the requirement of on-line fingerprint identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and mainly relates to the fingerprint image enhancement technology in the biological feature identification technology. Background technique [0002] Biometric identification is a solution that uses digital automatic technology to measure a partial feature of the human body or an individual's behavioral features, and matches these features with those stored in a known database to complete identity verification. In the era of highly developed network technology and information technology, biometric identification technology is widely connected with people's daily work and life, and has been widely used in fields such as identity verification and information security. Fingerprint identification technology is the earliest and most widely used feature identification technology in biometric identification technology, and has been popularized in attendance systems, e-commerce and many other fi...

AI Technical Summary

Problems solved by technology

Among the existing algorithms, although there are relatively good fingerprint enhancement algorithms, some will consume a lot of time, and some have less processing time but the effect is not good. Therefore, the present invention aims to design a fingerprint enhancement algorithm that can obtain better Fingerprint enhancement algorithm that can enhance the effect and save time effectively

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