基于主线特征的掌纹识别

M. O. Rotinwa-Akinbile, A. Aibinu, M. Salami
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引用次数: 19

摘要

本文提出了一种基于掌纹主线特征提取技术的非接触式掌纹识别系统。利用易获取且价格低廉的相机对采集图像进行预处理,提取识别掌纹特征。利用离散傅立叶变换(DFT)技术计算端点到端点和截获点到端点的距离,并将其变换到频域。将提取的k点DFT系数作为判别特征,利用相关技术、功率谱匹配和欧氏距离测度进行识别和识别。该方法具有旋转、尺度和平移不变性,在1比4的识别和分类验证中准确率达到100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Palmprint Recognition Using Principal Lines Characterization
In this paper, a novel contactless Palmprint recognition system using palm print principal line-based feature extraction technique has been proposed. The discriminative Palmprint features were extracted from a pre-processed acquired images using easily available and low cost camera. Distances from endpoints to endpoints and point of interception to endpoints were calculated and transformed to frequency domain by the application of Discrete Fourier Transformed (DFT) technique. The extracted K-points DFT coefficients has been used as the discriminating features for recognition and identification purposes using correlation technique, power spectral matching and Euclidean distance measure. The proposed technique has been observed to be rotation, scale and translation invariant and accuracy of 100% was achieved in a 1-to-4 recognition and classification verification.
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