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：2011
卷号：8
期号：4
出版社：IJCSI Press
摘要：This paper presents a novel approach for enhancing palmprint image. Enhancement is a preprocessing step used to modify the contrast of the image and remove the noise. Traditional Histogram equalization techniques improve the contrast of the image but introduce spurious noise. Palmprint consists of fine features. In order to extract fine features from the palmprint image, enhancement has to be done. Fine features in the palmprint increases the accuracy of palmprint recognition. This paper provides enhancement based on curvelet which preserves the fine features without introducing noise. This method is applied for 100 test cases. Comparing with the histogram equalization techniques curvelet gives better result in the presence of noise. The experiment result shows high PSNR (Peak Signal-to-Noise Ratio ) value for the Curvelet method.
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