http://iaeme.com/Home/journal/IJEET 126 editor@iaeme.com International Journal of Electrical Engineering & Technology (IJEET) Volume 9, Issue 5, September- October 2018, pp. 126-133. Article ID: IJEET_09 5_013 _0 Available online at http://iaeme.com/Home/issue/IJEET?Volume=9&Issue=5 Journal Impact Factor (2018 9.1872 (Calculated by GISI) www.jifactor.com ): ISSN Print: 0976-6545 and ISSN Online: 0976-6553 © IAEME Publication HUMAN FINGERPRINT ANALYSIS USING FINGER-VEIN IMAGES G Arunkumar, M Sasikala and G Lavanya Assistant Professor, Department of Electronics and Communication Engineering, Rathinam Technical Campus, Coimbatore, Tamilnadu, India ABTRACT This paper presents an approach to identify an individual based on their intrinsic physical traits. Extraction of highly distinctive texture patterns for better classification. This paper provides an overview of current fingerprint and finger-vein research, algorithms designed for real-time identification in large database. We develop and investigate holistic and non linear fusion and evaluating them. Key words: Fingerprint recognition, finger-vein recognition, hand biometrics, multispectral finger identification, personal identification, vascular biometrics Cite this Article: G Arunkumar, M Sasikala and G Lavanya, , Human Fingerprint Analysis using Finger-Vein Images, International Journal of Electrical Engineering and Technology, 9(5), 2018, pp. 126-133. http://iaeme.com/Home/issue/IJEET?Volume=9&Issue=5 1. INTRODUCTION Measurement of people’s unique physical and behavioral characteristics, i.e. biometrics is increasingly used for commercial purposes. Fingerprinting is the oldest form [1] of biometric verification. The imperfections in the friction ridges and valleys which are commonly referred to as minutiae orlevel-2 fingerprint features [19] due to high individuality. Learning about such minutiae features requires image resolution more than 400 dpi [dots per inch]. The utilization of such feature from webcam images or at a distance [36], deserves attention in civilian or forensic application. Several biometric are affected by many spoofing attacks such as fake fingerprints, static palmprints. In order to detect such attacks, many countermeasures have been proposed [1], [28]; finger response to electrical impulse [20], finger temperature and electrocardiographic signals [21], time varying perspiration patterns from fingertips [22], and percentage of oxygen saturated hemoglobin in the blood [23]. In spite of these suggestions, only few have been suitable for online fingerprint identification. 1.1 Motivation and Related Work To sustain the metabolism, the blood vessels transport blood throughout the body via network of arteries, veins and capillaries. The usage of such vascular structures in fingers and palms has