한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2018년도 추계학술발표대회
- /
- Pages.880-881
- /
- 2018
- /
- 2005-0011(pISSN)
- /
- 2671-7298(eISSN)
DOI QR Code
Hybrid feature extraction of multimodal images for face recognition
- Cheema, Usman (Dept. of Computer Engineering, Sejong University) ;
- Moon, Seungbin (Dept. of Computer Engineering, Sejong University)
- 발행 : 2018.10.31
초록
Recently technological advancements have allowed visible, infrared and thermal imaging systems to be readily available for security and access control. Increasing applications of facial recognition for security and access control leads to emerging spoofing methodologies. To overcome these challenges of occlusion, replay attack and disguise, researches have proposed using multiple imaging modalities. Using infrared and thermal modalities alongside visible imaging helps to overcome the shortcomings of visible imaging. In this paper we review and propose hybrid feature extraction methods to combine data from multiple imaging systems simultaneously.
키워드