IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 02 Issue: 12 | Dec-2013, Available @ http://www.ijret.org 197 FINGER-VEIN BASED BIOMETRIC SECURITY SYSTEM Jose Anand 1 , T. G. Arul Flora 2 , Anu Susan Philip 3 1 Associate Professor, 2, 3 Assistant Professor, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India Abstract Finger vein recognition is a kind of biometric authentication system. This is one among many forms of biometrics used to recognize the individuals and to verify their identity. This paper presents a finger vein authentication system using template matching. Implementation using Matlab shows that the finger vein authentication system performs well for user identification. Keywords – biometric, feature extraction, figure vein, security system. ----------------------------------------------------------------------***----------------------------------------------------------------------- 1. INTRODUCTION Finger vein [13] biometric authentication is a recent identification system in this modern era. This technology is used for wide variety of applications including credit card authentication, automobile security, employee time and attendance tracking, computer and network authentication, and so on. Like fingerprints [12] or iris patterns, finger vein based blood vessel patterns are unique for each individual. Finger vein based blood vessel pattern have high security because the veins are located under the surface of the skin. The fingerprints can be cheated by dummy finger fitted with a copied fingerprint, but the finger vein based identification system is highly secure for authentication. The iris pattern recognition [5] is known for low error rates of authentication, but some users feel psychological resistance to the direct application of light rays into their eyes. In addition to this, precise positioning of the eyes is required for accurate iris authentication. So the iris authentication system is provided with high-cost position adjustment mechanisms for the accurate recognition. For authentication application the pattern of the finger vein [14] is stored in a database. The finger is placed on an attester terminal which contains a near-infrared, light emitting diode light source and a monochrome charge coupled device camera. The hemoglobin present in the blood absorbs the near infrared light emitting diode light and makes the vein to appear as dark pattern. The recorded image is digitized and stored in the database. During authentication, the finger vein is scanned and is compared with the image in the database. The rest of the paper is organized as follows. Section 2 reviews about the related literature and section 3 describe the finger-vein based security system for authentication needed real-time applications. Section 4 details the performance evaluation of finger-vein security system using Matlab tool, and finally conclusion and future scope is given in section 5. 2. RELATED WORK In this section, we review the prior work on finger vein biometric security system over various applications. David et al [1] introduced preliminary process to enhance the image quality that worsen by light effect and produces noise by the web camera, then segmented the vein pattern by using adaptive threshold method and matched them using improved template matching. The result shows that even the image quality is not good and as long as the veins are clear with some appropriate process can be used for personal identification. Wenming et al [2] proposed a structured personal identification approach using finger vein Location and Direction Coding (LDC). Initially finger vein imaging device is designed using Near-InfraRed (NIR) light source, by which a database for finger vein images is established. The brightness difference in the finger vein image is used to extract the vein pattern. Then finger vein LDC creates a structured feature image for each finger vein. The structured feature image is utilized to conduct the personal identification with image database for finger vein, which includes 440 vein images from 220 different fingers. Hua-Bin et al [3] presented an algorithm based on adaptive filtering and retinex method for enhancement of hand vein images. The principal of the near-infrared hand vein image acquisition is introduced, then the retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Then the gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Then a determination criterion of hand vein is established to remove the false vein blocks from the segmented hand vein images.