Palmprint Matching Using LBP

P. Promila, V. Laxmi
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引用次数: 14

Abstract

Automatic person verification has become a crucial problem in networked society. Providing authorized access to a person is a challenging task. To resolve all these issues, biometrics has emerged as an important and effective solution. Although many biometrics have been proposed, public acceptability and privacy concerns remain a block to implementation in public services. Another concern is computational overhead in real-time scenario. This paper discusses a new method and its related analysis that based on palm print verification using local binary pattern (LBP) to capture the palm print texture. Experimental results demonstrate that this technique is simple, highly accurate and takes less time to process the palm print image.
基于LBP的掌纹匹配
自动身份验证已成为网络社会中的一个关键问题。向某人提供授权访问是一项具有挑战性的任务。为了解决所有这些问题,生物识别技术已经成为一种重要而有效的解决方案。尽管已经提出了许多生物识别技术,但公众可接受性和隐私问题仍然是公共服务实施的障碍。另一个问题是实时场景中的计算开销。本文讨论了一种基于掌纹验证的基于局部二值模式(LBP)的掌纹纹理捕获新方法及其相关分析。实验结果表明,该方法操作简单,精度高,处理掌纹图像耗时短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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