Classification of the Incomplete Fingerprint Image
As the AFIS database more and larger, the processing speeds of AFIS involves a bottleneck. In this case, many biometric researchers have been inspired in studying the fingerprint classification. In this paper, an improve method is introduced which is to aim at solving incomplete fingerprint classification problem in the embedded system. The classification relies on tracking the ridges, which are near the core, by analyzing the block dir image. According to the termination information and the deflexion information of the dermal ridge, each fingerprint will be given one type at least and three types at most by the confidence level. For the five-class problem in the 400 images database the accuracy rate of 99.5％ is achieved. Experimental results show the feasibility and validity of the proposed approach in fingerprint classification.
classification fingeq rint Incomplete image
Jiang Hong Li Xueyan Guo Shuxu Fang Hua
College of Electrical and Electronic Engineering, Changchun University of Technology Changchun, Chin College of Electronic Science and Engineering, Jilin University Changchun 130012, China
国际会议
长春
英文
281-284
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）