Custom Design of JPEG Quantisation Tables for Compressing Iris Polar Images to Improve Recognition Accuracy
暂无分享,去创建一个
[1] John Daugman,et al. Effect of Severe Image Compression on Iris Recognition Performance , 2008, IEEE Transactions on Information Forensics and Security.
[2] Ping-Sing Tsai,et al. JPEG: Still Image Compression Standard , 2005 .
[3] Mo Chen,et al. Modification of standard image compression methods for correlation-based pattern recognition , 2004 .
[4] Gregory K. Wallace,et al. The JPEG Still Image Compression Standard , 1991 .
[5] Andreas Uhl,et al. Comparison of compression algorithms' impact on iris recognition accuracy II: revisiting JPEG , 2008, Electronic Imaging.
[6] Randy P. Broussard,et al. Effects of image compression on iris recognition system performance , 2008, J. Electronic Imaging.
[7] Donald M. Monro,et al. Effects of Sampling and Compression on Human IRIS Verification , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[8] Andreas Uhl,et al. Comparison of Compression Algorithms' Impact on Iris Recognition Accuracy , 2007, ICB.
[9] Hyun-Sik Ahn,et al. JPEG Quantization Table Design for Face Images and Its Application to Face Recognition , 2006, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[10] Patrick J. Flynn,et al. Comments on the CASIA version 1.0 Iris Data Set , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Andreas Uhl,et al. Custom JPEG Quantization for Improved Iris Recognition Accuracy , 2009, SEC.