用最少的特征识别和验证掌纹

Int. J. Biom. Pub Date : 2018-03-01 DOI:10.1504/IJBM.2018.10011198

H. Kalluri

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引用次数: 1

摘要

本文提出了一种基于最小特征数的掌纹验证与识别方法。利用感兴趣区域(ROI)上的宽主线提取器(WPLEs)生成宽主线图像(WPLIs)。将WPLI分割为2 × 2、4 × 4、8 × 8和16 × 16，并直接从每个片段中提取特征值。利用提取的特征进行实验。结果表明，该方法的等错误率(EER)、可判定指数(DI)和正确识别率(CRR)均优于现有的PolyUPalmprint数据库识别方法。

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Palmprint identification and verification with minimal number of features

In this paper, palmprint verification and identification with minimum number of features is proposed. The wide principal line extractors (WPLEs) on the region of interest (ROI) are applied to generate wide principal line images (WPLIs). The WPLI is segmented into 2 × 2, 4 × 4, 8 × 8 and 16 × 16 and the feature value is extracted directly from each segment. Experiments are conducted by using the extracted features. The results show that the equal error rate (EER), decidability index (DI) and correct recognition rate (CRR) of the proposed approach is better than existing methods for PolyUPalmprint Database.

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Int. J. Biom.

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