Hand Vien Recognotion Using Matlab

Abstract

Bold) : Identification based on hand vein pattern is an interesting branch of biometric recognition that is enjoying increasingly attention among the researchers in the recent decade. However, despite the fact the most of the developed commercial systems for this purpose are expensive; their false acceptance ratios are not zero. Therefore, using them for identification purposes can be crucial if they mistakenly accept an imposter (even with a very low probability). The current work proposes a very low-cost hand vein pattern recognition system using a simple modified webcam. The system introduces a blob removal algorithm for enhancing the results of the segmentation and uses a modified version of Hausdorff distance for feature matching for the recognition purposes. Experimental results show that the system can achieve a zero false acceptance ratio while keeping the true acceptance rate in an acceptable level. (10 Italic) Keywords (11Bold) - Pattern Recognition; Hand Vein; Biometrics; Infrared Imaging (10 Italic) I. INTRODUCTION (11 BOLD) Nowadays a very large number of identification systems exist that are based on different types of biometrics. This includes iris, fingerprint, retina, voice, face, palm and vascular pattern recognition. This last one is quite a new emerging technology in the biometric field, and has been gradually adopted over the world. The idea of using the hand vascular pattern as a biometric was first considered in the early 1990s but it wasn't until 1997 that a commercial product was developed. In 2000 it finally became popular when an application was created for personal identification based on the vein pattern on the back of the hand (1). Since its introduction, hand vein pattern technology has expanded to fingers and palm based systems and was adopted in 2007 by the International Standard Organization (ISO) where the storage and transmission of vascular biometric images was standardized. The demand for secure identification systems has increased exponentially over the last ten years. These systems are required to be very reliable but also easy to use since their application is no longer restricted to high-security facilities. The advantages of hand vein pattern recognition are due to the fact that veins lie underneath the skin, which makes them easily accessible for the system but also hard to alter. In this perspective, the accessibility of vein pattern compared with other biometrics and its ease of use have made it a very interesting alternative for applications where a high level of security is required. It is also a good alternative to biometric systems that require physical contactin order to identify the individual, especially in environments such as hospitals where hygiene has high priority. An identification system should be fast, simple and secure and due to its desirable advantages, vein pattern technology is being considered into various authentication solutions for use in public places (access control, time and attendance, security, hospitals).The market for hand vascular pattern technology is growing rapidly and today it is an area of ongoing research that draws a lot of attention. II. THE PROPOSED ALGORITHM