Name
Abstract | ||
|---|---|---|
Designing a biometrie system based solely on skin texture is of interest because the face is sometimes oeeluded by hair or artefacts in many real-world contexts. This work presents a novel framework for the assessment of skin-based biometric systems incorporating skin quality information. The quality or purity of the extracted skin region is automatically established using pixel colour models prior to biometric processing. Facial landmarks are detected to facilitate automated extraction of facial regions of interest. Although the present study is confined to the forehead region, the idea can be extended to other skin regions. Local Binary Patterns (LBP) and Gabor wavelet filters are utilised to extract skin features. Using the publicly available XM2VTS database, the experimental results show that the system provides promising performance when compared to other commonly used techniques. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EST.2017.8090418 | 2017 Seventh International Conference on Emerging Security Technologies (EST) |
Keywords | Field | DocType |
skin textures,skin biometrics,skin detection,facial marks | Forehead,Computer vision,Gabor wavelet,Computer science,Local binary patterns,Feature extraction,Skin texture,SKIN REGIONS,Pixel,Artificial intelligence,Biometrics | Conference |
ISBN | Citations | PageRank |
978-1-5386-4019-7 | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamed Alsufyani | 1 | 0 | 0.68 |
| Sanaul Hoque | 2 | 93 | 13.16 |
| Farzin Deravi | 3 | 296 | 36.61 |