Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement

doi:10.1007/s11633-023-1436-6

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	Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement
	Haitao Wang; Wei Jia
发表期刊	Machine Intelligence Research
ISSN	2731-538X
	2024
卷号	21 期号:3 页码:597-614
摘要	Palmprint recognition is an emerging biometrics technology that has attracted increasing attention in recent years. Many palmprint recognition methods have been proposed, including traditional methods and deep learning-based methods. Among the traditional methods, the methods based on directional features are mainstream because they have high recognition rates and are robust to illumination changes and small noises. However, to date, in these methods, the stability of the palmprint directional response has not been deeply studied. In this paper, we analyse the problem of directional response instability in palmprint recognition methods based on directional feature. We then propose a novel palmprint directional response stability measurement (DRSM) to judge the stability of the directional feature of each pixel. After filtering the palmprint image with the filter bank, we design DRSM according to the relationship between the maximum response value and other response values for each pixel. Using DRSM, we can judge those pixels with unstable directional response and use a specially designed encoding mode related to a specific method. We insert the DRSM mechanism into seven classical methods based on directional feature, and conduct many experiments on six public palmprint databases. The experimental results show that the DRSM mechanism can effectively improve the performance of these methods. In the field of palmprint recognition, this work is the first in-depth study on the stability of the palmprint directional response, so this paper has strong reference value for research on palmprint recognition methods based on directional features.
关键词	Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature
DOI	10.1007/s11633-023-1436-6
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56485
专题	学术期刊_Machine Intelligence Research
作者单位	School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China
推荐引用方式 GB/T 7714	Haitao Wang,Wei Jia. Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement[J]. Machine Intelligence Research,2024,21(3):597-614.
APA	Haitao Wang,&Wei Jia.(2024).Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement.Machine Intelligence Research,21(3),597-614.
MLA	Haitao Wang,et al."Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement".Machine Intelligence Research 21.3(2024):597-614.

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