{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T14:12:11Z","timestamp":1774534331794,"version":"3.50.1"},"reference-count":27,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2012,3,15]],"date-time":"2012-03-15T00:00:00Z","timestamp":1331769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Finger-vein recognition has received increased attention recently. However, the finger-vein images are always captured in poor quality. This certainly makes finger-vein feature representation unreliable, and further impairs the accuracy of finger-vein recognition. In this paper, we first give an analysis of the intrinsic factors causing finger-vein image degradation, and then propose a simple but effective image restoration method based on scattering removal. To give a proper description of finger-vein image degradation, a biological optical model (BOM) specific to finger-vein imaging is proposed according to the principle of light propagation in biological tissues. Based on BOM, the light scattering component is sensibly estimated and properly removed for finger-vein image restoration. Finally, experimental results demonstrate that the proposed method is powerful in enhancing the finger-vein image contrast and in improving the finger-vein image matching accuracy.<\/jats:p>","DOI":"10.3390\/s120303627","type":"journal-article","created":{"date-parts":[[2012,3,15]],"date-time":"2012-03-15T12:02:16Z","timestamp":1331812936000},"page":"3627-3640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Scattering Removal for Finger-Vein Image Restoration"],"prefix":"10.3390","volume":"12","author":[{"given":"Jinfeng","family":"Yang","sequence":"first","affiliation":[{"name":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, P.O. Box 9, Tianjin 300300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, P.O. Box 9, Tianjin 300300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihua","family":"Shi","sequence":"additional","affiliation":[{"name":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, P.O. Box 9, Tianjin 300300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2012,3,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"7429","DOI":"10.1364\/AO.41.007429","article-title":"Near-infrared finger vein patterns for personal identification","volume":"41","author":"Kono","year":"2002","journal-title":"Appl. Opt"},{"key":"ref_2","unstructured":"Wax, A., and Backman, V. (2010). 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