Fingerprint Compression Using Non-linear Approximation of Multiwavelet Coefficients
Sankaralingam Esakkirajan, Thangaraj Veerakumar, V. Senthil Murugan, P. Navaneethan · Iranian journal of electrical and computer engineering · 2008
This paper presents a new fingerprint coding technique using non-linear approximation of multiwavelet coefficients followed by multi-stage vector quantization. Fingerprints contain oscillatory patterns in the vertical, horizontal and diagonal direction. Wavelet transform often fails to accurately capture the oscillatory patterns in the fingerprints, especially at low bit rates. Due to implementation constraints scalar wavelets do not posses all the properties such as orthogonality, short support, linear phase symmetry, and a high order of approximation through vanishing moments simultaneously, which are very much essential for efficient image compression. New class of wavelets called 'Multiwavelets' which posses more than one scaling function overcomes this problem. The effective multiwavelet coefficients are quantized by multistage vector quantization which can achieve very low encoding and storage complexity in comparison to unstructured vector quantization. Entropy coding of quantized coefficients is done using Huffman coding. The performance of the proposed scheme is compared with the results obtained from scalar wavelets. The performance of the proposed scheme is better than the existing wavelet based coding at low bit rate.