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By Dario Maio, Davide Maltoni, Raffaele Cappelli, Jim L. Wayman, Anil K. Jain (auth.), David Zhang, Anil K. Jain (eds.)
This publication constitutes the refereed court cases of the 1st overseas convention on Biometric Authentication, ICBA 2004, held in Hong Kong, China in July 2004.
The 104 revised complete papers awarded have been rigorously reviewed and chosen from 157 submissions; additionally incorporated are summaries of three biometric competitions on fingerprint verification, face authentication, and signature verification. The papers are equipped in topical sections on face, fingerprint, iris, signature, speech, biometric fusion and probability research, and different biometric issues.
Read or Download Biometric Authentication: First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004. Proceedings PDF
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Extra info for Biometric Authentication: First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004. Proceedings
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Automatic signature verification and writer identification – the state of the art. Pattern Recognition, 22(2):107–131, 1989. [5] F. Leclerc and R. Plamondon. Automatic signature verification: the state of the art – 1989–1993. International Journal of Pattern Recognition and Artificial Intelligence, 8(3):643–660, 1994. edu Abstract. The open set recognition task, most challenging among the biometric tasks, operates under the assumption that not all the probes have mates in the gallery. It requires the availability of a reject option.
The Isotropic Gradient Direction metric [21] is then used as the scoring function which measures the degree of similarity between the test image and the claimed identity template. For the first part of the competition only the intensity image was used to comply with the competition rules. For part II of the competition this process was performed in three different colour spaces namely intensity (I), chroma-g (G/I) and opponent chroma-rg ((R-G)/I) spaces [11]. The final score is then calculated by averaging the individual channel scores.
1229-1234, 1999. , M. Hatef, R. Duin and J. Matas, “On Combining Classifiers,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 226-239, 1998. Chang, K. , K. W. Bowyer and P. J. Flynn. “Multi-Modal 2D and 3D Biometrics for Face Recognition,” Proc. IEEE Workshop on AMFG, France, October 2003. nz Abstract. In membership authentication problem that has a complicated and mixed data distribution, the authentication accuracy obtained from using one classifier is not sufficient despite its powerful classification ability.