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Studies on Automatic Fingerprint Identification Based Texture Feature

Author: WangJunYi
Tutor: WangCheng
School: Huazhong University of Science and Technology
Course: Engineering Mechanics
Keywords: Fingerprint recognition Texture features Gabor filter Feature matching
CLC: TP391.41
Type: Master's thesis
Year: 2005
Downloads: 303
Quote: 3
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Abstract


The fingerprint recognition technology is a kind of biometric technology , through fingerprint sensor fingerprint , the verification of fingerprints on the computer , to achieve the purpose of authentication . Because of its many advantages, easy to use , high accuracy and low price got to a wide range of applications in the field of authentication . In respect to the identification of broad application prospects for fingerprint recognition technology , this paper studied and implemented Gabor filter to extract the structure of the fingerprint texture features and matching recognition algorithm . The algorithm , the fingerprint image as the direction and frequency of the texture signal by using a Gabor filter frequency and direction characteristics of the selected parameters to the local direction of fingerprint texture signal and the local frequency as Gabor filtering function of the fingerprint texture image Gabor convolution filtering , local texture map ; fingerprint image texture features chart circular grid , fingerprint feature coding , so that the fingerprint matching simplifies calculated the distance between the feature coding . Each grid in the method characterized in the sub- component can be better expression of the localized feature , and their orderly arrangement reflects the overall relationship between the fingerprint component , full use of the characteristics and the overall characteristics of the fingerprint partial overcome the traditional minutiae feature matching algorithm exists : more pretreatment link ; feature vector length is not fixed ; minutiae unstable insufficient . Experimental results show that the algorithm makes full use of the rich texture information contained in the fingerprint grayscale image , but also reflects the local information of the fingerprint , to make up for the deficiencies of the traditional methods on a small area of ??the fingerprint image recognition . And this method also has less dependence on image quality , the extraction of feature vectors of fixed length , easy to store and retrieve feature encoding , overcome fingerprint rotational and translational factors , etc. within a certain range . The algorithm has a high practical value .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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