Title :
Psychovisually tuned wavelet fingerprint compression
Author :
Sherlock, B.G. ; Monro, D.M.
Author_Institution :
Sch. of Electron. & Electr. Eng., Bath Univ., UK
Abstract :
We present biorthogonal and orthonormal wavelets for embedded zerotree wavelet compression of fingerprint images. By simulated annealing over the wavelet filter coefficients, using a composite cost function dependent upon a parameter k2 which weights the relative importance of the wavelet´s bandwidth and time dispersion, a series of wavelets is obtained. Each of these is optimal in terms of a particular Heisenberg uncertainty `footprint´, i.e. a particular trade-off between bandwidth and time dispersion. The psychovisually optimal wavelet for fingerprint image compression is determined by fingerprint experts by examination of images compressed and recovered using the series of wavelets. Psychovisually tuned wavelets were found to yield superior visual fidelity to standard wavelets and also to wavelets optimized to produce minimum RMS error on either fingerprint or general test images
Keywords :
data compression; delay circuits; filtering theory; fingerprint identification; image coding; indeterminancy; law administration; police data processing; simulated annealing; time-frequency analysis; transform coding; uncertain systems; visual perception; wavelet transforms; Heisenberg uncertainty footprint; automated fingerprint identification systems; biorthogonal wavelets; composite cost function; criminal investigations; embedded zerotree wavelet compression; fingerprint image compression; fingerprint images; image recovery; linear phase filters; minimum RMS error; orthonormal wavelets; police forces; psychovisually optimal wavelet; psychovisually tuned wavelet fingerprint compression; simulated annealing; test images; time dispersion; wavelet bandwidth; wavelet filter coefficients; Bandwidth; Cost function; Filters; Fingerprint recognition; Image coding; Image matching; Psychology; Simulated annealing; Testing; Uncertainty;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560929
