Analysis of Dorsal Palm Vein Pattern Recognition System

Rabie, Sherok M.; Ebied, Hala M.; Bayoumi, Sahar

doi:10.1109/icicis46948.2019.9014833

Cited by 2 publications

(1 citation statement)

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“…The test results indicated that the LLBP technique is reliable for feature extraction from the dorsal vein, when the recognition accuracy is 98%. Rabie et al [14] presented a method for recognizing dorsal palm vein patterns. There are two methods presented.…”

Section: Related Workmentioning

confidence: 99%

Dorsal hand veins features extraction and recognition by correlation coefficient

Rajab

Hashim

2022

TELKOMNIKA

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One of the most convenient biometrics approaches for identifying a person is dorsal hand veins recognition. In recent years, the dorsal hand veins have acquired increasing attention because of its characteristics such as universal, unique, permanent, contactless, and difficulty of forging, also, the veins remain unchanged when a human being grows. The captured dorsal hand veins image suffers from the many differences in lighting conditions, brightness, existing hair, and amount of noise. To solve these problems, this paper aims to extract and recognize dorsal hand veins based on the largest correlation coefficient. The proposed system consists of three stages: 1) preprocessing the image, 2) feature extraction, and 3) matching. In order to evaluate the proposed system performance, two databases have been employed. The test results illustrate the correct recognition rate (CRR), and accuracy of the first database are 99.38% and 99.46%, respectively, whereas the CRR, and accuracy of the second database are 99.11% and 99.07% respectively. As a result, we conclude that our proposed method for recognizing dorsal hand veins is feasible and effective.

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Section: Related Workmentioning

confidence: 99%