{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T19:15:32Z","timestamp":1721675732193},"reference-count":25,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2012,2]]},"abstract":"<jats:p>The importance of high-fidelity enhancement in low quality fingerprint image cannot be overemphasized. Most of the existing fingerprint enhancement methods are contextual filter-based methods and they often suffer from two shortcomings: (1) there is block effect on the enhanced images; and (2) they blur or destroy ridge structures around singular points. In order to well preserve the ridge structures in singular regions and avoid block effect, we develop a new method for fingerprint enhancement combining nontensor product wavelet filter banks and anisotropic filter. We first decompose the fingerprint image using the nontensor product wavelet filter banks. Then we modify the approximation subimage using anisotropic filtering and adjust the high frequency coefficients of the three other subimages by applying the adaptive approach to reduce the noises according to the geometry feature of images. Finally, the inverse transform is applied to map the result and a final contrast enhancement is done subsequently. Experiments have been conducted on the fingerprint database FVC2004 in our study. The results demonstrate that the proposed approach is capable of overcoming block effect and enhancing low quality fingerprint while preserving the ridge structures around singular points.<\/jats:p>","DOI":"10.1142\/s0218001412560010","type":"journal-article","created":{"date-parts":[[2012,1,16]],"date-time":"2012-01-16T02:31:37Z","timestamp":1326681097000},"page":"1256001","source":"Crossref","is-referenced-by-count":2,"title":["FINGERPRINT ENHANCEMENT BASED ON WAVELET AND ANISOTROPIC FILTERING"],"prefix":"10.1142","volume":"26","author":[{"given":"JIAJIA","family":"LEI","sequence":"first","affiliation":[{"name":"Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China 430074, P. R. China"}]},{"given":"QINMU","family":"PENG","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China 430074, P. R. China"},{"name":"Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong"}]},{"given":"XINGE","family":"YOU","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China 430074, P. R. China"}]},{"given":"HIYAM HATEM","family":"JABBAR","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China 430074, P. R. China"},{"name":"Department of Computer Science, Baghdad University, Baghdad, Iraq 10071, Iraq"}]},{"given":"PATRICK S. P.","family":"WANG","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Northeastern University, Boston, MA, USA 02115, USA"}]}],"member":"219","published-online":{"date-parts":[[2012,6,21]]},"reference":[{"key":"rf1","first-page":"2027","volume":"9","author":"Almansa A.","journal-title":"IEEE Trans. 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