文章基本信息

标题：Efficiency of Gaussian Pyramid Compression Technique for Biometric Images
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作者：K.C.Chandra Sekaran ; K.Kuppusamy
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：3
出版社：IJCSI Press
摘要：Images in their uncompressed form require large amount of storage capacity and uncompresses data needs large transmission bandwidth for the transmission. Image compression technique is used to reduce the storage requirement per image, while maintaining image quality. The proposed method investigates biometric image compression using Gaussian Pyramid Compression (GPC) in which the performance is observed down to 0.23 bits/pixel attributed to noise reduction without a significant loss of texture. Objective measures were used such as Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Bit Rate (BR) to evaluate the image quality for both gray and RGB biometric images. The comparisons of Gaussian Pyramid compression technique applied to .jpg, .bmp and .png images.
关键词：Biometric; iris; loss;less; fingerprint; palm print; generating kernel; low;pass filter.