Local-DCT features for facial recognition
| File | Size | Format | |
|---|---|---|---|
| 53699_1.pdf | 307Kb | Adobe PDF | View |
| Title | Local-DCT features for facial recognition |
|---|---|
| Author | Schwerin, Belinda Marie; Paliwal, Kuldip Kumar |
| Publication Title | Proceedings of the 2nd International Conference on Signal Processing and Communication Systems |
| Editor | Beata J. Wysocki and Tadeusz A. Wysocki |
| Year Published | 2008 |
| Abstract | This paper presents the results of a project investigating the use of Discrete-Cosine transform (DCT) to represent facial images of an identity recognition system. The objective was to address the problem of sensitivity to variation in illumination, faced by commercially available systems. The proposed method uses local, block-wise DCT to extract the features of the image. Results show that this appearance based method gives high identification rates, improved tolerance to variation in illumination, and simple implementation. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4811121 |
| Alternative URI | http://dx.doi.org/10.1109/ICSPCS.2008.4813751 |
| Copyright Statement | Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| ISBN | 9781424442423 |
| Conference name | 2nd International Conference on Signal Processing and Communication Systems |
| Location | Gold Coast, Australia |
| Date From | 2008-12-15 |
| Date To | 2008-12-17 |
| URI | http://hdl.handle.net/10072/23600 |
| Date Accessioned | 2009-02-26 |
| Date Available | 2009-07-14T06:43:25Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Signal Processing |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/23600
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