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Fingerprint image

Figure 13.7. The image of a fingerprint taken from a glass sheet surface (10,000 x 10,000 j,m). (Reprinted from Szynkowska, M. I. et al., 2007. Preliminary Studies Using Scanning Mass Spectrometry (TOF-SIMS) in the Visualisation and Analysis of Fingerprints, Imaging Sci. J., 55 180-187. With permission from Maney Publishing.) (See color insert.)... Figure 13.7. The image of a fingerprint taken from a glass sheet surface (10,000 x 10,000 j,m). (Reprinted from Szynkowska, M. I. et al., 2007. Preliminary Studies Using Scanning Mass Spectrometry (TOF-SIMS) in the Visualisation and Analysis of Fingerprints, Imaging Sci. J., 55 180-187. With permission from Maney Publishing.) (See color insert.)...
An effective approach to data compression using wavelets was introduced by Wickerhauser [33]. Data coding is one of the most visible applications of wavelets. Compression ratios of about 10 1 can be achieved without significant loss of visual detail. The FBI has adopted a standard for digital fingerprint image compression, based on wavelet compression algorithms (see Fig. 18). This standard is described in the work of Bradley [34] and Brislawn and Hopper [35,36]. [Pg.508]

J.N. Bradley, C.M. Brislawn and T. Hopper. The FBI Wavelet/Scalar Quantization Standard for Gray-Scale Fingerprint Image Compression, in SPIE Proc. Visual Info. Processing II, Orlando, FL, 1992, pp. 293-304. [Pg.547]

T. Hopper, Compression of Gray-Scale Fingerprint Images, in SPIE Proc. Wavelet Application, Orlando, FL, Vol. 2242, 1994, pp. 180-187. [Pg.547]

Your genome could appear on an ID card in the foreseeable future. Fingerprint image Powered by Light RoyaltyFree/Alamy... [Pg.251]

Fig. 8. Reconstructed images (left) and correlations with original image (right), (a) Original fingerprint image, (b) reconstructed image without optimization, and (c) reconstructed image with optimization. Fig. 8. Reconstructed images (left) and correlations with original image (right), (a) Original fingerprint image, (b) reconstructed image without optimization, and (c) reconstructed image with optimization.
Fig. 10. Dependence of final iteration number and its cost on the number of simultaneous multiple flipping pixels, (a) corresponds to the fingerprint image in Fig. 3(a), and (b) is also for the fingerprint image in Fig. 12(a). Fig. 10. Dependence of final iteration number and its cost on the number of simultaneous multiple flipping pixels, (a) corresponds to the fingerprint image in Fig. 3(a), and (b) is also for the fingerprint image in Fig. 12(a).
Fig. 16. Encryption (a) and decryption (b) for gray scale fingerprint image based on phasecoding method. Fig. 16. Encryption (a) and decryption (b) for gray scale fingerprint image based on phasecoding method.
Fig. 17. Decryption using real-valued patterns, (a) Original image. The fingerprint image is inverted and the gray scale of each pixel is nonlinearly transformed by an arccosine function (compare it with Fig. 2(a)). (b) Encryption key, (c) real part of the encrypted pattern, (d) real part of the decryption key, and (e) decrypted image. Fig. 17. Decryption using real-valued patterns, (a) Original image. The fingerprint image is inverted and the gray scale of each pixel is nonlinearly transformed by an arccosine function (compare it with Fig. 2(a)). (b) Encryption key, (c) real part of the encrypted pattern, (d) real part of the decryption key, and (e) decrypted image.
Zhang, M.Q. and Giraulf H.H. (2007) Fingerprint imaging by scaiming electrochemical microscopy. Electrochemistry Communications, 9, 1778-1782. [Pg.243]

Cortes-Salazar, R, Zhang, M., Becue, A., Busnel, J.-M., Prudent, M., Champod, C., Girault, H. H. Human fingerprint imaging by scanning electrochemical microscopy (SECM). Chimia 2009, 63, 580. [Pg.377]

Zhang MQ, Girault HH. Fingerprint imaging by scanning electrochemical microscopy. Electrochem Commun 2007 9 1778-1782. [Pg.298]


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