Automatic Image Quality Assessment with Application in Biometrics
2006 (Engelska)Ingår i: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition / [ed] Cordelia Schmid, Stefano Soatto, Carlo Tomasi., Los Alamitos, Calif.: IEEE Computer Society, 2006, s. 7-Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
A method using local features to assess the quality of an image, with demonstration in biometrics, is proposed. Recently, image quality awareness has been found to increase recognition rates and to support decisions in multimodal authentication systems significantly. Nevertheless, automatic quality assessment is still an open issue, especially with regard to general tasks. Indicators of perceptual quality like noise, lack of structure, blur, etc. can be retrieved from the orientation tensor of an image, but there are few studies reporting on this. Here we study the orientation tensor with a set of symmetry descriptors, which can be varied according to the application. Allowed classes of local shapes are generically provided by the user but no training or explicit reference information is required. Experimental results are given for fingerprint. Furthermore, we indicate the applicability of the proposed method to face images.
Ort, förlag, år, upplaga, sidor
Los Alamitos, Calif.: IEEE Computer Society, 2006. s. 7-
Serie
IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, ISSN 1063-6919 ; 2006
Nyckelord [en]
Image analysis, Image processing
Nationell ämneskategori
Datorseende och robotik (autonoma system)
Identifikatorer
URN: urn:nbn:se:hh:diva-2171DOI: 10.1109/CVPRW.2006.36Scopus ID: 2-s2.0-33845534164Lokalt ID: 2082/2568ISBN: 0-7695-2646-2 (tryckt)OAI: oai:DiVA.org:hh-2171DiVA, id: diva2:239389
Konferens
2006 Conference on Computer Vision and Pattern Recognition Workshop, New York City, New York, 17-22 June, 2006
Anmärkning
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2008-12-032008-12-032020-05-18Bibliografiskt granskad