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Fingerprint recognition algorithm research related

Author: XueYaXu
Tutor: ChenJinYu
School: Chongqing University
Course: Control Science and Engineering
Keywords: Fingerprint Binarization Genetic Algorithms Pattern Matching
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 93
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Abstract


Human application fingerprints began in ancient history. Fingerprint identification is the oldest, as early as 6000 years ago, humans will use fingerprints instead of signatures. Archaeologists confirmed that, as early as the late primitive society, fingerprint as authentication tools have been applied in our country started. Although widely used fingerprint in ancient China, but this application is only a sensual application, there is no analysis on the basis of comprehensive and inductive reasoning, but did not rise to the application of science and theory. With the social development and scientific and technological progress, the people of the fingerprint pattern recognition system, more and more research, and has made tremendous progress. For example, in many businesses and schools to introduce a fingerprint attendance system, but the current appraisal system in recognition speed and accuracy are still some problems, so we are required to fingerprint pattern recognition algorithms do further research. In this paper, by domestic and foreign research results of fingerprint recognition technology learning, based on the fingerprint pattern recognition system algorithm is studied. Including: fingerprint image preprocessing, feature extraction and fingerprint image feature matching fingerprint pattern. Papers detailed analysis of domestic and international fingerprint pattern recognition technology development, in summary and previous theoretical study, based on the fingerprint pattern recognition algorithm to improve the processing speed and performance as the main research goals, focusing on the fingerprint binarization algorithm and fingerprint mode feature matching algorithm conducted in-depth research. First, binarization algorithm for the current existence of anti-dry ability is poor, the threshold is not easy to select the other issues as well as the lack of low efficiency, we propose a new binarization gray threshold segmentation method, the algorithm is easy to implement well reflects and computation characteristics, and the local adaptive grayscale image information and fingerprint combination, but also played a certain immunity. Then for the characteristic fingerprint pattern matching, we propose a new algorithm based on genetic secondary matching algorithm, which minutiae screening section, we propose a new construction and conversion methods unrelated to structural information; coordinate calibration section using polar coordinates; For calibration feature points obtained using variable-size bounding box methods to improve the efficiency of the algorithm. Finally FVC2004 fingerprint database in the fingerprint image, fingerprint pattern with classic feature matching algorithm comparative analysis of the results to verify the feasibility of the proposed algorithm.

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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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