基于掌纹的高效多算法融合系统

15th International Conference on Advanced Computing and Communications (ADCOM 2007) Pub Date : 2007-12-18 DOI:10.1109/ADCOM.2007.40

Badrinath G.S., Phalguni Gupta

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引用次数: 20

摘要

本文提出了一种高效的个人生物识别系统。该方法基于人手的Karhunen-Loeve和Haar小波变换特征。采用低成本扫描仪获取生物特征图像。提取与手在扫描仪上的平移和旋转无关的掌纹特征。采用动态加权和规则进行匹配分数水平的融合。系统在IITK数据库的200张图片和PolyU数据库的7751张图片上进行了测试。该系统的准确率为94.80%，FAR为4.73%，FRR为5.66%。

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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An Efficient Multi-algorithmic Fusion System Based on Palmprint for Personnel Identification

This paper proposes an efficient biometric system for personnel identification of an individual. It is based on Karhunen-Loeve and Haar wavelet transform features of human hand. A low cost scanner is used to acquire image for biometric features. The palmprint features which are independent to hand translation and rotation on the scanner are extracted. Fusion at the matching score level is done by means of the dynamic weighted sum rule. The system is tested on IITK database of 200 images and PolyU Database of 7751 images. The system is found to have 94.80% accuracy with 4.73% FAR and 5.66% FRR.

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15th International Conference on Advanced Computing and Communications (ADCOM 2007)

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