Novel fingerprint image compression technique using the wavelet transform and piecewise-uniform pyramid lattice vector quantization

A novel compression algorithm for fingerprint images is introduced. Using wavelet packets and lattice vector quantization, a new vector quantization scheme based on an accurate model for the distribution of the wavelet coefficients is presented. In the new algorithm, no assumptions are made about the lattice parameters and no training and multi-quantizing are required. The proposed algorithms achieve the best rate-distortion performance by adapting to the statistical characteristics of the source image in each sub-image. Compared to other available image compression algorithms, the proposed algorithms result in higher quality reconstructed images for identical bit rates.