Touchless Fingerprint Sensor and Recognition System

• Main Authors: Shuo-Li Shih, 史碩禮
• Other Authors: Ching-Fuh Lin
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/12352014938042733264

碩士 === 國立臺灣大學 === 電機工程學研究所 === 95 === Nowadays, there are many kinds of Entrance Guard System. From old simple key to advanced biometrics identification technologies, their main purposes are to provide convenience and security. This paper aims at fingerprint recognition biometrics technology. The traditional Fingerprint Recognition System is usually contact-type. The drawback of contact-type is that it is easy to make dirty, so we have to maintain and clean it often. We apply Touchless Fingerprint Sensor in order to avoid this kind of situation. First, we use CMOS Sensor with improved Short Focus Lens to get fingerprints. Because the fingerprint of each human being is unique, we can exploit this unique characteristic to do identification and to know who owns this fingerprint. Then, Scanned the fingerprint image is processed by various technologies such as Image Segmentation, Ridge Direction, Image Enhancement, and Binarization to produce a lot of information we need. Afterwards, we can utilize this information for identification. To compare Minutia, we focus on the angle, distance, and direction of Minutiae. We use the rotation technology to process rotated fingerprints. To develop small-sized Fingerprint Recognition System, we use the FPGA-based embedded system to implement this system. The FPGA is used to accelerate the fingerprint to identification algorithm. The fingerprint databases in this paper are from three sources. First is taken from Touchless Fingerprint Sensor that is instant fingerprint image. Second is an FVC2002 sponsor offer the testing database. Third source is Biometric System Lab. experimental image. Experiments show that our Touchless Fingerprint Recognition System can reach recognition rate from 71.43% to 92.86%. On the precision of recognition, some images had the problem of clarity, influencing the system recognition rate. Thus we used Touchless Fingerprint Sensor to avoid possibility that the dust could affect the recognition rate.