Abstract
Face recognition is important for many applications, including security check-up, judicial administration, visual monitoring and intelligent interaction. Current commercial and research systems use software implementation and require a dedicated computer for the image-processing task–a large, expensive, and complicated-to-use solution. In order to make face recognition ubiquitous, the system complexity, size, and price must be substantially reduced. This paper presents an ARM-based embedded system for face recognition. The float image-pretreatment algorithm was redesigned to enable highly image-pretreatment implementation for ARM9 microprocessor. The system uses a CMOS digital imaging sensor OV7640, a S3C2410A processor and the Linux Operation System for the image processing. A face recognition algorithm based on the HMM is presented. The software can be run in intelligent mobile telephone or PDA directly. This new design is suitable for face detection and recognition, thus making an important step towards low-cost and portable systems.
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© 2007 IFIP International Federation for Information Processing
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Sun, Y., Xie, L., Wang, Z., An, Y. (2007). An Embedded System of Face Recognition Based on ARM and HMM. In: Ma, L., Rauterberg, M., Nakatsu, R. (eds) Entertainment Computing – ICEC 2007. ICEC 2007. Lecture Notes in Computer Science, vol 4740. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74873-1_46
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DOI: https://doi.org/10.1007/978-3-540-74873-1_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74872-4
Online ISBN: 978-3-540-74873-1
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