Fingerprint image enhancing method
A fingerprint image and fingerprint technology, applied in the field of image processing, can solve the problems of time-consuming, poor effect, and less processing time, saving time, enhancing the effect, and satisfying the effect of online fingerprint recognition.
Inactive Publication Date: 2011-06-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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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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[0067] The method of the present invention is implemented in MATLAB2009b software, and the fingerprint image is randomly selected from the FVC2004 database. The average time to enhance the foreground area of a fingerprint image with MATLAB on PC Intel Core 2.10GHZ is about 4.7s.
[0068] In summary, the fingerprint image foreground area enhancement method based on the nonlinear diffusion model and the normalized structure tensor provided by the present invention can not only effectively enhance the low-quality fingerprint image, but also has a small amount of calculation and better performance. The characteristics of meeting the speed requirements of online fingerprint recognition.
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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...
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IPC IPC(8): G06K9/00
Inventor 马争解梅叶振栋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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