ISSN: 2277-9655 [Verma* et al., 6(5): May, 2017] Impact Factor: 4.116 IC™ Value: 3.00 CODEN: IJESS7 http: // www.ijesrt.com © International Journal of Engineering Sciences & Research Technology [722] IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY FINGERPRINT DETECTION AND RECOGNIZATION TECHNIQUES USING GABOR FILTER Yogita Verma*, Prof. Bhagwati Charan Patel * Shri Shankaracharya group of Institution Dept. of Information & Technology Bhilai, Chhattisgarh, India Shri Shankaracharya Group of Institution Dept. of Information & Technology Bhilai, Chhattisgarh, India DOI: 10.5281/zenodo.801293 ABSTRACT Fingerprints are most extensively and effectively appropriate for the proof of identity in present days. Mostly because of their uniqueness among the people, public acceptance, originality, stability through life, and their least risk of invasion. Fingerprint technology, which is basically a biometric system, is utilized to identify an individual based on their physical qualities. Fingerprint matching is the trendiest biometric method appropriate to provide authentication. Fingerprint verification is one of the most trustable biometric security system in the world of computers. In this paper we proposed fingerprint algorithm which uses Gabor filter to capture local and global minute details in a fingerprint. The matching is based Euclidean distance between input image to test compared to trained fingerprints images. We are able to detect fingerprint with marginally best results. Our fingerprint framework performs best as compared to any other techniques. KEYWORDS: FingerPrint Recognization, FingerPrint Detection, Biometric, Identity, Authentication. INTRODUCTION The most popular Biometric authentication of a person is fingerprint. It is most unique and permanent throughout the life of a person. There are mainly two types of biometric characteristics. They are  Physiological characteristics- Physiological characteristics are one of the unique characteristics which are physically present in the human body. For example, face, fingerprint, iris, ear etc.  Behavioral characteristics- Behavioral characteristics are completely related to the behavior of a person. For example, signature, voice etc. The most important advantage of biometrics is that biometric classification is always carried by a person. So therefore is less chance of losing or forgetting it. Also, it is impossible to loose or steal biometric identity. Fingerprint technique is one of the most important biometric techniques used for identifying a person [1]. Fingerprint A pattern feature of fingerprint as shown in Fig. 1. It is impression of the furrows and friction ridges on all the parts of a finger and these furrows and friction ridges consisting good matching in every small local window. Fig.1. fingerprint sample