Complementation between Various Algorithms of AFIS and the Practical Value
YAO Yuewu1, DING Hong2, MA Jixiong1, WANG Gang3, LUO Changying3
Author information+
1. Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Zhejiang Key Laboratory of Forensic Science and Technology, Hangzhou 310009, China; 2. Zhejiang Police College, Hangzhou 310053, China; 3. Beijing PKU High-tech Fingerprint Co. Ltd, Beijing 100160, China
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History+
Received
Published
2016-12-14
2017-10-15
Issue Date
2017-11-16
摘要
单一算法指纹自动识别系统在LT比对(即正查——现场比十指Latent to Ten-print)时均存在一定的漏比率(即错误拒绝率FRR),不同算法指纹自动识别系统错误拒绝的样本并不完全重合,即不同识别算法之间存在互补性。本文通过在一套指纹自动识别系统中同时加载多套不同来源算法进行比对,获得各套算法单独比对、融合比对的结果,再通过对这些比对结果的分析、比较,验证了不同识别算法具有互补性,使用多套异构识别算法进行比对,能够有效降低错误拒绝率,提高识别系统的比对精度这一结论。
Abstract
AFIS (automatic fingerprint identification system) plays an important role for a case-concerned fingerprint to match against one of the recorded fingerprints in it. The match depends on AFIS-adopted algorithm to determine whether there is identity between the compared fingerprint and one of those stored. It has been found that FRR (false rejection rate) always exists when only single one algorithm was employed by the AFIS to make comparison from one case-extracted latent fingerprint to someone’s ten fingerprints (Latent to Ten-print, LT) that is kept in the AFIS. Another discovery also showed that the wrongly rejected samples are not completely identical in different AFIS because of the adoption of various algorithms in the involved AFIS, suggestive of the complementation between various algorithms. Such a complementation should be utilized to assure the accuracy and validity of a match (the case identification). Therefore, this study tries to integrate multiple algorithms of fingerprint’s match into one AFIS, performing the same LT search through both various single algorithm and combinations of these algorithms. Consequently, the FRR is effectively reduced, resulting in LT search having its accuracy improved.
YAO Yuewu, DING Hong, MA Jixiong, WANG Gang, LUO Changying.
Complementation between Various Algorithms of AFIS and the Practical Value. Forensic Science and Technology. 2017, 42(5): 385-388 https://doi.org/10.16467/j.1008-3650.2017.05.010