旋转不变掌纹识别:概述和实现

G. Yashodha, R. Bremananth
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引用次数: 2

摘要

掌纹具有稳定、独特的特征,是一种较新的生理生物识别技术。基于掌纹的生物识别方法比其他方法有几个优点。掌纹图像可以用低分辨率的相机和扫描仪获取,并且仍然有足够的信息来达到良好的识别率。掌纹验证系统已经应用了很长时间,并被发现进行了许多研究活动。本文介绍了掌纹识别技术的发展现状,并提出了一种结合OTSU的预处理方法来提高掌纹识别的精度。该方法的结果进一步增强了旋转不变掌纹的识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rotation invariant palmprint recognition: An overview and implementation
Palmprint is one of the relatively new physiological biometrics due to its stable and unique characteristics. Palmprint based biometric approaches possess several advantages over others. Palmprint images can be acquired with low resolution cameras and scanners and still have enough information to achieve good recognition rates. Palm print verification System has been utilized for a long time and it was found that many research activities were carried out. This paper presents a description of state of techniques of palmprint recognition system along with a new method has been proposed for preprocessing combined with OTSU in order to improve the identification. The results obtained in this approach has further enhanced for rotation invariant palmprint recognition.
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