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Key Algorithm Research on Automatic Fingerprint Identification System

Author: LiuHuaXiang
Tutor: WangLing
School: Hunan Normal University
Course: Circuits and Systems
Keywords: Automated Fingerprint Identification System Fingerprint Segmentation Fingerprint Classification Fingerprint Matching
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 71
Quote: 1
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Abstract


Automatic fingerprint identification system because of its small size, low cost, easy operation, and high reliability more and more people of all ages to become one of the important biometric technology. This thesis, the key technologies for fingerprint image segmentation in the Automated Fingerprint Identification System, fingerprint classification, fingerprint matching, and made the following research: depth study of a fingerprint image pre-processing technology is proposed based on Harris corner point energy of the fingerprint image adaptive segmentation algorithm. First, the use of the the Harris operator calculation of the angle of the image to be split point energy, and then use an adaptive method to set the threshold to complete early split; processing using morphological methods to reduce segmentation errors, and finally through the removal of residual separation area parameters noise region. Original serial and parallel hybrid thinning algorithm based on improved template to get a good, thorough refinement of the fingerprint image. 2. Traditional fingerprint classification algorithm is proposed based on the classification algorithm of of filtering binary fingerprint image continuous distribution arc. Use of the arc characteristics of the fingerprint ridge, and the longest in the horizontal and vertical directions on the inner chord line is measured by a scanning method in each stripe, and determines to meet the requirements of the inner chord line of the ridge line where belongs arc. The arc types by scanning a fingerprint has successfully fingerprint classification. Live fingerprint sample a new refinement of image-based fingerprint classification algorithm, for the first time through the use of ridge line tracing algorithm successfully extracted a reflection of changes in the fingerprint ridge characteristics and laws of the new parameters. The advantage of this new feature the FVC2004 fingerprint library classification accuracy rate of 98.9%, and low quality fingerprint image has good robustness. Right based on the center of the fingerprint matching algorithm, using a new fingerprint center quickly positioning method. By scanning first longest the inner chord line method to quickly locate the center of the fingerprint area, and using poincare values ??to locate center point, we can get the corresponding point in the two fingerprint image by matching the structure of the neighborhood minutiae. Then use these corresponding points to match the global features of the fingerprint image. Finally, the details of the ridge between the center point to cut the number the global match the distance and covariance distance to determine the result of the match.

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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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