Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Engineering and Mathematics / Centre for Communications Engineering Research
RAS ID
3570
Abstract
This paper addresses the segmentation of passport images in order to improve quality of significant regions and to further reduce redundancy of insignificant ones. The approach is to first segment a facial image into two major regions, namely background and foreground. Here a new technique using pixel difference is presented. To compress facial regions at better quality, a face segmentation algorithm is introduced that detects eyes and mouth in a face. Region of interest (ROI) coding is then used to obtain better quality for facial features. At the end, some strategies that make use of region segmentation are proposed in order to increase performance in entropy coding
DOI
10.1109/ICICS.2005.1689320
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Tropf, A. S., & Chai, D. K. (2005). Region segmentation for facial image compressing. Proceedings of Fifth International Conference on Information, Communications and Signal Processing. (pp. 1565-1569). Bangkok, Thailand. IEEE. Available here
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