Fingerprint Enhancement By Directional Filtering
Download Fingerprint Enhancement By Directional Filtering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Fingerprint Enhancement By Directional Filtering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Fingerprint Enhancement by Directional Filtering
Although inkless methods for taking fingerprint impressions are now available, these methods still suffer from the positional shifting caused by the skin elasticity. The non cooperative attitude of suspects or criminals also leads to smearing in parts of the fingerprint impressions. Thus a substantial amount of research reported in the literature on fingerprint identification is devoted to image enhancement techniques. The important step in fingerprint matching is the reliable fingerprint recognition. Automatic Fingerprint Recognition System relies on the input fingerprint for feature extraction. Hence, the effectiveness of feature extraction relies heavily on the quality of input fingerprint images. In this thesis adaptive filtering in frequency domain in order to enhance fingerprint image is proposed. Several stages of processing take place when an Automated Fingerprint Identification System (AFIS) is used to match an unknown fingerprint [2]. 1) The fingerprint is first enhanced to remove noisy and any irrelevant information. 2) The enhanced image is then encoded into a form suitable for comparison with the records held in the database. The encoded data consists of various key information of the fingerprint image like its minutiae. 3) Matching is then performed by comparing the encoded record against those held in the database. 4) Verification stage is performed wherein a fingerprint expert visually compares the unknown print with the candidates' fingerprints. In this thesis Gabor filter is used for fingerprint enhancement technique. Because of its frequency selective and orientation selective properties it proves to be useful for fingerprint enhancement. The primary advantage of the approach is improved translation and rotation invariance.
Computer Vision, Graphics and Image Processing
This book constitutes the refereed proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006, held in Madurai, India, December 2006. Coverage in this volume includes image restoration and super-resolution, image filtering, visualization, tracking and surveillance, face-, gesture-, and object-recognition, compression, content based image retrieval, stereo/camera calibration, and biometrics.
Automatic Fingerprint Recognition Systems
Author: Nalini Ratha
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-05-08
An authoritative survey of intelligent fingerprint-recognition concepts, technology, and systems is given. Editors and contributors are the leading researchers and applied R&D developers of this personal identification (biometric security) topic and technology. Biometrics and pattern recognition researchers and professionals will find the book an indispensable resource for current knowledge and technology in the field.