We combine the PDC and CST forming the PDCST descriptor to represent the multiple level and multiple dimensional features of 3D palmprint images. The two-phase ...
We combine the PDC and CST forming the PDCST descriptor to represent the multiple level and multiple dimensional features of 3D palmprint images. The two-phase ...
We combine the PDC and CST forming the PDCST descriptor to represent the multiple level and multiple dimensional features of 3D palmprint images. The two-phase ...
Precision direction and compact surface type representation for 3D palmprint identification.
This paper presents a comprehensive survey examining the prevailing feature extraction methodologies employed within biometric palmprint recognition models.
Mar 5, 2020 · An efficient 3D palmprint recognition method was proposed by using local texture feature sets and deep learning, in order to explore the usage ...
We divide a 3D palmprint ROI into uniform blocks and extract a histogram of surface types from each block; histograms from all blocks are then concatenated to ...
Compared with other methods, the proposed solution can reduce the computational complexity and elevate the accuracy, speed, and robustness of identification.
Wu, "Precision direction and compact surface type representation for 3D palmprint identification, " Pattern Recognit., vol. 87, pp. 237-247, Mar. 2019. [63] ...
Contactless 3D hand biometrics offers hygienic and con- venient approaches for biometric recognition. This paper investigates a distinctive feature ...
Missing: Precision | Show results with:Precision