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An Efficient Approach for Latent Fingerprint Recognition

机译:一种有效的潜在指纹识别方法

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摘要

The online fingerprints by biometric system is not widely used now a days and there is less scope as user is friendly with the system. This paper represents a framework and applying the latent fingerprints obtained from the crime scene. These prints would be matched with our database and we identify the criminal. For this process we have to get the fingerprints of all the citizens. This technique may reduce the crime to a large extent. Latent prints are different from the patent prints. These fingerprints are found at the time of crime and these fingerprints are left accidentally. By this approach we collect these fingerprints by chemicals, powder, lasers and other physical means. Sometimes, fingerprints have a broken curve and it is not so clear due to low pressure. We apply the M_join algorithm to join the curve to achieve better results. Thus, our proposed approach eliminates the pseudo minutiae and joins the broken curves in fingerprints.
机译:通过生物识别系统的在线指纹现在已经不被广泛使用,并且由于用户对系统的友好性,其范围也越来越小。本文提出了一个框架,并运用了从犯罪现场获得的潜在指纹。这些印刷品将与我们的数据库相匹配,我们将识别犯罪分子。对于此过程,我们必须获取所有公民的指纹。这种技术可以在很大程度上减少犯罪。潜在印刷品与专利印刷品不同。这些指纹在犯罪时被发现,这些指纹被意外遗留。通过这种方法,我们通过化学药品,粉末,激光和其他物理手段来收集这些指纹。有时,指纹的曲线会折断,并且由于低压而无法清晰显示。我们应用M_join算法来连接曲线以获得更好的结果。因此,我们提出的方法消除了伪造的细节,并在指纹中加入了折断的曲线。

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