MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN

Jurnal Ilmu Komputer dan Informasi

Jayanti Yusmah Sari¹  Amil A Ilham²  Fransisca J Pontoh²  Ingrid Nurtanio² 

[1] Halu Oleo University;Hasanuddin University;

关键词: biometrics;    dorsal hand vein;    fuzzy k-NN;    local line binary pattern;    vein recognition;   

DOI  :  10.21609/jiki.v11i2.576

来源: DOAJ

【 摘 要 】

Nowadays, dorsal hand vein recognition is one of the most recent multispectral biometrics technologies used for the person identification/authentication. Looking into another biometrics system, dorsal hand vein biometrics system has been popular because of the privilege: false duplicity, hygienic, static, and convenient. The most challenging phase in a biometric system is feature extraction phase. In this research, feature extraction method called Local Line Binary Pattern (LLBP) has been explored and implemented. We have used this method to our 300 dorsal hand vein images obtained from 50 persons using a low-cost infrared webcam. In recognition step, the adaptation fuzzy k-NN classifier is to evaluate the efficiency of the proposed approach is feasible and effective for dorsal hand vein recognition. The experimental result showed that LLBP method is reliable for feature extraction on dorsal hand vein recognition with a recognition accuracy up to 98%.

【 授权许可】

Unknown