文章基本信息

标题：A Survey of Feature Based Finger Print Recognition Techniques
本地全文：下载
作者：Jaspreet Kaur ; Navleen Kaur
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：303-307
语种：English
出版社：Ayushmaan Technologies
摘要：Fingerprints have long been utilized as a reliable biometric feature for confidential identification. Fingerprint association mentions to the setback of allocating fingerprints to one of countless prespecified classes. Automatic association can be utilized as a pre-processing pace for fingerprint matching, cutting matching period and intricacy by restricting the find space to a subset of a normally huge database. Fingerprint matching methods can be mainly categorized as minutiae established and correlation based. Minutiae based method early locates the minutiae points in a given fingerprint picture and matches their comparative placements in a stored template fingerprint. This Paper surveys Feature based and wavelet based fingerprint marching of the methods happening in the research community.
关键词：Finger Print Recognition;Automated Fingerprint Recognition Systems (AFRSs);Pattern Recognition