Mayank Vatsa, Richa Singh, A. Noore, Keith B. Morris
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引用次数: 6
Abstract
Recent cases such as Commonwealth v Patterson show that there is a lack of research in how to process and recognize simultaneous fingerprint impressions, especially when none of the latent prints in the cluster could be individually matched. SWGFAST released the first version of the standard on simultaneous impression examination that can help fingerprint examiners to systematically compare latent simultaneous impressions to a known ten-print card. However, when the individual is not known, the simultaneous fingerprint impressions have to be compared using a large database of reference ten-prints, making the process very challenging. This paper introduces the research problem of identifying simultaneous latent fingerprint impressions to the community and presents a semi-automatic approach to process the impressions of any individual. The approach generates a list of top matches and latent fingerprint examiners can then examine them for individualization. Using a fingerprint database that contains simultaneous latent impressions, we analyze the performance of the proposed approach obtained by matching simultaneous impressions with the gallery database.
最近的英联邦诉帕特森案(Commonwealth v Patterson)表明,缺乏对如何处理和识别同时存在的指纹印象的研究,特别是当集群中没有一个潜在指纹可以单独匹配时。SWGFAST发布了第一个版本的同时印痕检查标准,可以帮助指纹审查员系统地将潜在的同时印痕与已知的十印卡进行比较。然而,当不知道个人身份时,必须使用一个大型的参考指纹数据库来比较同时产生的指纹印象,这使得这一过程非常具有挑战性。本文介绍了社会上对同时潜在指纹印识别的研究问题,提出了一种半自动处理任意个体指纹印的方法。该方法生成一个顶级匹配列表,然后潜在指纹检测器可以对它们进行个性化检查。使用包含同时潜在印象的指纹数据库,我们通过将同时印象与画廊数据库进行匹配来分析所提出的方法的性能。