Palmprint Enhancement Using Discrete Curvelet Transform
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.
Keywords: Enhancement, palmprint, PSNR, Curvelet, Histogram
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