Abstract
In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
Highlights
Nowadays, personal verification based on biometric technology has been used in many kinds of applications such as door access control, ATM transactions and border crossing controls
In order to show the superiority of the local line binary pattern in personal verification, the proposed method was compared with the other variants of local binary pattern (LBP) [12,15,23]
Extraction of robust features from finger vein images is an important issue in a finger vein based biometric system
Summary
Personal verification based on biometric technology has been used in many kinds of applications such as door access control, ATM transactions and border crossing controls. Biometric is the technology of verifying people using human physiological or behavioral features such as fingerprint, iris, face and voice [1]. The condition of the finger’s surface such as sweat and dryness can prevent a clear fingerprint pattern from being obtained [4]. As for finger knuckle print [5] and palm print [3] based biometric system, it is easy to replicate since the features are external to the human body
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