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The image process technology in fingerprint identification
Chen, Hai Yan; Hui, Ling
2012
会议日期September 16, 2011 - September 18, 2011
会议地点Singapore, Singapore
关键词Algorithms Anthropometry Biometrics Image matching Information technology Materials science Authentication methods Biometric identifications Characteristics match Fingerprint identification Fingerprint images Image preprocessing Image process Social life
卷号433-440
DOI10.4028/www.scientific.net/AMR.433-440.3247
页码3247-3251
英文摘要Fingerprint identification technology is one of the biometric identification technologies that match and recognize the collected fingerprint image to determine the identity of the person. Fingerprint identification technology compared to other biometric identifications is more unique, practical and workable. Therefore, the fingerprint identification as the most popular, most convenient and most reliable authentication method, it has been widely used in many aspects of social life. This paper introduced the whole structure of the fingerprint identification system and the function of every part in fingerprint identification system, mainly introduced the part of fingerprint image pre-processing and implemented one of the algorithms for fingerprint image preprocessing with MATLAB. The result of the experiment shows that the algorithm for fingerprint image preprocessing that used in the paper meets the fingerprint image preprocessing requirements and it provides a basis for fingerprint characteristics extracting and fingerprint characteristics matching. © (2012) Trans Tech Publications, Switzerland.
会议录Advanced Materials Research
会议录出版者Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种英语
ISSN号10226680
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116005]  
专题兰州理工大学
作者单位School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式
GB/T 7714
Chen, Hai Yan,Hui, Ling. The image process technology in fingerprint identification[C]. 见:. Singapore, Singapore. September 16, 2011 - September 18, 2011.
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