Biometric Technologies and Development of Touch-Less Fingerprint Recognition System

Abstract

To develop a reliable touch-less fingerprint recognition application based on biometric technologies in order to overcome the limitations of touch based fingerprint technology for better security purposes. Description Capturing a 3D image of the finger, recognizing the ridge-valley pattern of the finger and then performing different algorithms in order to extract the basic features like minutiae. In the end then matching the image with the images in the array. This complete process after capturing an image using a digital camera will take place in three phases, namely, Pre-Processing phase, Feature-Extraction Phase and Matching phase. Why I chose this topic? Rapid growth in computer vision and image processing applications has been evident in recent years. One area of interest in vision and image processing is biometrics. Fingerprint recognition identifies people by using the impressions made by the minute ridge formations or patterns found on the fingertips. Finger printing takes an image of a person's fingertips and records its characteristics - whorls, arches, and loops are recorded along with patterns of ridges, furrows, and minutiae. Information is processed as an image and further encoded as a computer algorithm. It is one of the most developed biometrics, with more history, research, and design. Since the information in the database is encoded with a mathematical algorithm, recreation of a fingerprint is extremely difficult on even a limited scale with most modern systems.