Composite Fixed-Length Ordered Features for Palmprint Template Protection with Diminished Performance Loss
Weiqiang Zhao, Heng Zhao, Zhicheng Cao, and Liaojun Pang

TL;DR
This paper introduces a novel fixed-length, ordered palmprint template protection method that fuses point and orientation features, achieving high security with minimal performance loss in recognition accuracy.
Contribution
It proposes a new composite feature operator combining point and orientation features for secure, revocable palmprint templates with minimal impact on recognition performance.
Findings
Achieved EER of 0.17% and 0.19% on PolyU and CASIA databases.
Maintained absolute precision loss below 0.1%.
Demonstrated effective palmprint template protection with high recognition accuracy.
Abstract
Palmprint recognition has become more and more popular due to its advantages over other biometric modalities such as fingerprint, in that it is larger in area, richer in information and able to work at a distance. However, the issue of palmprint privacy and security (especially palmprint template protection) remains under-studied. Among the very few research works, most of them only use the directional and orientation features of the palmprint with transformation processing, yielding unsatisfactory protection and identification performance. Thus, this paper proposes a palmprint template protection-oriented operator that has a fixed length and is ordered in nature, by fusing point features and orientation features. Firstly, double orientations are extracted with more accuracy based on MFRAT. Then key points of SURF are extracted and converted to be fixed-length and ordered features.…
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Taxonomy
TopicsBiometric Identification and Security
