Palm print

Abstract: —Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.

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)