所有作者：Tauseef Ahmed 姜弢
作者单位：Harbin Engineering University, Forign Affairs Office
论文摘要：Fingerprint recognition system consist of image preprocessing， features extraction and features matching that runs effectively and accurately on personal computer。 The image preprocessing includes noise removal， histogram equalization， global thresholding and ridgeline thinning which are necessary for the features extraction。 Extracted features are then stored in a file for fingerprint matching。 Matching algorithm presented here is a simple， fast and accurate。 Experimental results for matching are accurate， reliable and fast for implementation using a personal computer and fingerprint reader。 The proposed fingerprint algorithm can provide an effective way of automated identification and can be extended to other security or identification applications。 Further the algorithm can be implanted on a FPGA platform for a real time personal automated identification system。
关键词： biometric recognition histogram equalization ridge thinning ridge ending ridge bifurcation
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