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Comparison of Different Fingerprint Compression Techniques

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Executive Summary

The important features of wavelet transform and different methods in compression of fingerprint images have been implemented. Image quality is measured objectively using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).A comparative study using discrete cosine transform based Joint Photographic Experts Group(JPEG) standard, wavelet based basic Set Partitioning in Hierarchical Trees(SPIHT) and Modified SPIHT is done. The comparison shows that Modified SPIHT offers better compression than basic SPIHT and JPEG. The results will help application developers to choose a good wavelet compression system for their applications.

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