Read e-book online Imaging for Forensics and Security: From Theory to Practice PDF

By Ahmed Bouridane

ISBN-10: 0387095314

ISBN-13: 9780387095318

Imaging for Forensics and safety: From concept to Practice presents a close research of recent imaging and trend popularity concepts for the certainty and deployment of biometrics and forensic suggestions. those concepts can be utilized for functional strategies to extend defense. the fabric incorporates a number of the hot advances within the know-how starting from idea, layout, and implementation to functionality review of biometric and forensic platforms. It additionally addresses new tools akin to the multiscale method, directional clear out financial institution, and wavelet maxima for the advance of functional strategies to biometric problems.

The writer introduces a brand new forensic process in response to shoeprint imagery with complicated ideas to be used in forensics functions. the fabric additionally offers the idea that of defending the originality of biometric photos kept in databases opposed to intentional and accidental assaults and fraud detection info with a purpose to additional bring up the security.

Imaging for Forensics and safeguard: From thought to Practice is an invaluable device for researchers and practitioners in imaging for safeguard and forensics.

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W. R. Boukabou, L. Ghouti and A. Bouridane, “Face recognition using a Gabor filter bank approach,” First NASA/ESA Conference on Adaptive Hardware and Systems, pp. 465–468, June 2006. 8. C. H. Park, J. J. Lee, M. Smith, S. Park and K. H. Park, “Directional filter bank based fingerprint feature extraction and matching,” IEEE Transactions on Circuits and Systems For Video Technology, vol. 14, pp. 74–85, January 2004. 9. M. A. U. Khan, M. K. Khan, M. A. Khan, M. T. Ibrahim, M. K. Ahmed and J. A. Baig, “Improved pca based face recognition using directional filter bank,” IEEE INMIC, pp.

Bartlett, J. R. Movellan and T. J. Sejnowski, “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1450–1464, November 2002. 5. P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman, “Eigenfaces vs. fisher-faces: Recognition using class specific linear projection,” IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711720, July 1997. 6. M. Zhu and A. M. Martinez, “Subclass discriminant analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.

For a high-performance system ERR should be as low as possible. Most vendors provide the performance evaluation in terms of accuracy and ERR. Some other evaluation criteria are Failure to capture rate (FCR) – FCR pertains to the amount of times a sensor is unable to capture an image when a biometric trait is presented to it. The FCR increases with wear and tear to the sensor module. If the FCR increases above a certain threshold it is advisable to replace the sensor module. Failure to enrol (FTE) – FTE indicates the number of users that were not enrolled in the system.

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Imaging for Forensics and Security: From Theory to Practice by Ahmed Bouridane

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