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An Automated Fingerprint Identification System Study Based on Multi-Patterns

Author: SuDuiShan
Tutor: BaiBaoXing
School: Changchun University of Science and Technology
Course: Applied Computer Technology
Keywords: Denoising processing Binarization Image thinning Singular point Feature Extraction
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 35
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Abstract


Fingerprint recognition technology has become more mature, but in fact , as the core technology of fingerprint recognition there are still many unsolved problems , especially incomplete , defaced identification of the fingerprint image is not satisfactory . Therefore, the current research status and application level , the study of the fingerprint image preprocessing , pattern recognition , feature parameters and fingerprint recognition classifier design based on multi- mode , not only has a higher theoretical value , but also has practical significance . First collected fingerprint image preprocessing fingerprint image preprocessing fingerprint normalized enhanced match before the operation , and the the binarization series of fingerprint image . The goal is a refinement in order to better extract the true feature point . Algorithm including Gabor filter denoising fingerprint image processing , image binarization and correction , refinement and correction of the image . Next is the fingerprint image feature extraction , feature extraction is mainly extracted 8 neighborhood binarization graph traversal . After extraction, there may be multiple pseudo characterized in repair and removal . The final step is fingerprint matching , this paper adopts a popular point pattern matching and structure matching algorithm combining fingerprint matching feature points of the system in the store fingerprint feature points , access to the fingerprint and the center point between the relationship and ridge count and simplifying fingerprint matching complexity.

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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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