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Automatic Fingerprint Classification by GA-Based Neural Network
引用本文:HUANG Xi yue,MA Xiao xiao,SHEN Zhi xi,WANG Peng,ZHOU Xin. Automatic Fingerprint Classification by GA-Based Neural Network[J]. 保鲜与加工, 2001, 0(1): 74-77
作者姓名:HUANG Xi yue  MA Xiao xiao  SHEN Zhi xi  WANG Peng  ZHOU Xin
摘    要:Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.

关 键 词:genetic algorithm  neural network  fingerprint  classificat
修稿时间:2000-05-25

Automatic Fingerprint Classification by GA-Based Neural Network
HUANG Xi yue,MA Xiao xiao,SHEN Zhi xi,WANG Peng,ZHOU Xin. Automatic Fingerprint Classification by GA-Based Neural Network[J]. Storage & Process, 2001, 0(1): 74-77
Authors:HUANG Xi yue  MA Xiao xiao  SHEN Zhi xi  WANG Peng  ZHOU Xin
Abstract:Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.
Keywords:genetic algorithm  neural network  fingerprint  classificat
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