Abstract
This paper introduces the establishment of a high resolution thermal infrared face database and presents a new thermal infrared face recognition method based on the Edge Multidirectional Binary Pattern. The high resolution thermal infrared face database is captured by Testo 890-1 High-end infrared digital camera with the image resolution 1280×960 pixels through the Super Resolution Technology. The database collects images from 60 persons, and each person has seven images with variations of poses. A new thermal infrared face recognition method based on Edge Multidirectional Binary Pattern (EMDBP) is also proposed, which fully considers the directional information of the image, and extracts more edge directional information. Experimental results show the new method achieved better performance compared with traditional methods.
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© 2015 Springer International Publishing Switzerland
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Zhang, X., Yang, J., Liu, N., Liu, J. (2015). Edge Multidirectional Binary Pattern Applies to High Resolution Thermal Infrared Face Database. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_60
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DOI: https://doi.org/10.1007/978-3-319-25417-3_60
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