Publications:Automatic Image Quality Assessment with Application in Biometrics
From ISLAB/CAISR
| Title | Automatic Image Quality Assessment with Application in Biometrics |
|---|---|
| Author | Hartwig Fronthaler and Klaus Kollreider and Josef Bigun |
| Year | 2006 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| Conference | 2006 Conference on Computer Vision and Pattern Recognition Workshop, New York City, New York, 17-22 June, 2006 |
| DOI | http://dx.doi.org/10.1109/CVPRW.2006.36 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239389 |
| Abstract | 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. |
