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Fingerprint Recognition Based On Vector Curve

Posted on:2008-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ZhaoFull Text:PDF
GTID:2178360278953546Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Due to the uniqueness and invariability, the fingerprint (FP) provides an optimal foundation for Automatic Personal Identification System. And fingerprints identification isbecoming one of most attractive, convenient and reliable technology of identification.Traditional fingerprint identification algorithms based on minutiae only use a small part of information image, that is the position and orientation of the minutiae, as character to match, which lost other abundant information contained in FP image. Also, identification of the two FP which is in different size, different angle and position, some solution will unify their size, angle and position first. It makes the algorithm very complicated and lowers the accuracy of the identification.On the basis of former research, a new FP identification solution based on the immutability of the curvature of the points on FP ridges is approached in order to get over the shortcomings of the matching algorithms based on minutiae. An automatic FP identification system is realized by using Visual C++ on computer which is made up of three parts including the FP image preprocesses the image vectorization and the ridge matching. Firstly, the FP image is preprocessed using a few classic image process algorithms including image normalizing, image filter, orientation estimation, binarization, thinning and post-process of the thinned FP image. Secondly, a vectorization technology is introduced into FP images in order to describe the FP ridges exactly. Lastly, a new FP matching algorithm based on the immutability of the curvature of the points on FP ridges is approached. For testing the efficiency of the algorithm, many pertinency experiments are taken including matching of the FP images which come from different fingers and from the same finger.The results demonstrate that the process algorithm remarkably reduces the noise interference and improves the quality of the FP image. The vectorization of the FP image not only describes the FP ridges exactly, reduces the storage space of the FP image, but also makes the FP image undistorted when zoomed in. The final matching results indicate that this algorithm has a very good achievement with different FP images and is invariant to rotation.
Keywords/Search Tags:Fingerprint identification, Fingerprint preprocess, Fingerprint vectorization, Ridge matching
PDF Full Text Request
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