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首页> 外文期刊>International Journal of Chemistry and Chemical Engineering >Contactless Based Palmprint Pattern Analysis and Identification
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Contactless Based Palmprint Pattern Analysis and Identification

机译：基于非接触式的掌纹图案分析和识别

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摘要

Palmprint is one of the most reliable and interesting biometrics recognition over other biometrics in recent era. Palmprint features provide several benefits rather than other sources of biometrics such as non-invasive, feature uniqueness and stability. Palmprint identification system has been developed for both civilian and forensic applications. In recent research, contactless palmprint identification has got more attention due to its stability and usage in various public domain applications with less sanitary issues. However, in contactless non-invasive imaging, Scaling, Rotation and Translation invariant feature extraction is an important study in order to implement in public domain applications. In this paper we propose a second quadrant keypoint localization method to deal with variations in appearance in unconstrained palmprint imaging. This method can robustly estimate and correct variations in pose as compare with the traditional contactless palmprint recognition methods such as Line based, Subspace based, Texture based, Code based and Multifeature based
机译：Palmprint是最近时代其他生物识别最可靠和最有趣的生物识别性的识别之一。 Palmprint特征提供了多种优点，而不是其他生物识别来源，如非侵入性，具有唯一性和稳定性。为平民和法医应用开发了PalmPrint识别系统。在最近的研究中，由于其各种公共领域应用中的稳定性和使用而导致非接触的人掌识别更加关注，具有较少的卫生问题。然而，在非接触式非侵入性成像，缩放，旋转和转换不变特征提取是一个重要的研究，以便在公共领域应用中实现。在本文中，我们提出了第二个象限的关键点定位方法来处理无约束掌纹成像中外观的变化。这种方法可以稳健地估计和正确的姿势变化，与传统的非接触式手掌识别方法相比，如基于线路，基于子空间，基于纹理，基于码的码分代码

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