Name
Title | ||
|---|---|---|
CCoLBP: Chromatic Co-Occurrence of Local Binary Pattern for Face Presentation Attack Detection |
Abstract | ||
|---|---|---|
To counter face presentation attack in face recognition system, the chromatic facial texture differences between the real faces and the facial artefacts are fully analyzed, and chromatic co-occurrence of local binary pattern (CCoLBP) is proposed to investigate the inter-channel based information. Based on the principle of presentation attack and its influence on color component of the face image, a face presentation attack detection (PAD) scheme based on CCoLBP is proposed. By combining intra-channel based facial texture and CCoLBP feature, the differences of color distortion and texture distribution between the real faces and the artefacts are characterized. With these features, the detection is accomplished by using a Softmax classifier. Experiments are done with 5 public databases, and the experimental results and analysis indicate the effectiveness of CCoLBP, and it can achieve good performance in cross-database testing. It has great potential in the application of face PAD with real-time requirement. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCCN.2018.8487325 | 2018 27th International Conference on Computer Communication and Networks (ICCCN) |
Keywords | Field | DocType |
face recognition system,chromatic facial texture differences,facial artefacts,inter-channel based information,color component,face image,face presentation attack detection scheme,intra-channel based facial texture,CCoLBP feature,color distortion,texture distribution,face PAD,Softmax classifier,chromatic co-occurrence of local binary pattern,cross-database testing | Facial recognition system,Chromatic scale,Pattern recognition,Softmax function,Face Presentation,Computer science,Local binary patterns,Support vector machine,Feature extraction,Artificial intelligence,Classifier (linguistics),Distributed computing | Conference |
ISSN | ISBN | Citations |
1095-2055 | 978-1-5386-5157-5 | 0 |
PageRank | References | Authors |
0.34 | 33 | 3 |