文章基本信息

标题：Improved Algorithm for Separating Latent Overlapped Fingerprints
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作者：Abhishek Pawar ; Mangala Madankar
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：2
页码：286-293
出版社：IJCSN publisher
摘要：Latent Overlapped fingerprints are frequentlyencountered in latent fingerprints lifted from crime scenes.Overlapping occurs when the same location of an object istouched by one or more fingers several times. It is necessaryto separate such latent overlapped fingerprints intocomponent fingerprints so that existing fingerprintmatchers can recognize them. In fact, fingerprint examinersusually do not collect latent overlapped fingerprints sincethey are too complicated to process. Thus it is desired todevelop an algorithm to separate the overlappedfingerprints into individual fingerprints in order to reducethe labour of fingerprint examiners. A new approach forseparating latent overlapped fingerprints are proposed toimprove the perfection of the separating algorithms byovercoming the difficiency in principal component analysis(PCA) technique. A new method provides robustness andefficiency to the system
关键词：Overlapped Fingerprints; Gabor Filters;Principal Component Analysis; Minutia