Comparison of visible and infra-red imagery for face recognition
- 23 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 182-187
- https://doi.org/10.1109/afgr.1996.557262
Abstract
This paper presents initial results in a study comparing the effectiveness of visible and infra-red (IR) imagery for detecting and recognizing faces in areas where personnel identification is critical, (e.g. airports and secure buildings). We compare the effectiveness of visible versus IR imagery by running three face recognition algorithms on a database of images collected for this study. There are both IR and visible images for each person in the database collected using the same scenarios. We used three very different feature-extraction and decision-making algorithms for our study to insure that the comparisons would not depend on a particular processing technique. We also present recognition results when visible and infra-red decision metrics are fused. The recognition results show that both visible and IR imagery perform similarly across algorithms and that fusion of IR and visible imagery as a viable means of enhancing performance beyond that of either acting alone. We examine the relative importance of different regions of the face for recognition. We also discuss practical issues of implementation, along with plans for the next phase of the study, face detection in an uncontrolled environment. Preliminary face detection results are presented.Keywords
This publication has 4 references indexed in Scilit:
- Human and machine recognition of faces: a surveyProceedings of the IEEE, 1995
- Projection-based face recognitionPublished by SPIE-Intl Soc Optical Eng ,1994
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991
- Application of the Karhunen-Loeve procedure for the characterization of human facesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990