Advances in Biometrics: International Conference, ICB 2006, by Kieron Messer, Josef Kittler, James Short, G. Heusch, Fabien

By Kieron Messer, Josef Kittler, James Short, G. Heusch, Fabien Cardinaux (auth.), David Zhang, Anil K. Jain (eds.)

This publication constitutes the refereed complaints of the foreign convention on Biometrics, ICB 2006, held in Hong Kong, China in January 2006.

The 104 revised complete papers offered have been conscientiously reviewed and chosen from 192 submissions. Biometric standards coated by way of the papers are assigned to stand, fingerprint, iris, speech and signature, biometric fusion and function evaluate, gait, keystrokes, and others. furthermore the result of the Face Authentication festival (FAC 2006) also are introduced during this volume.

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Extra resources for Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006. Proceedings

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39 unit: cm, degrees Table 2. 3787 unit: ms Rapid 3D Face Data Acquisition Using a Color-Coded Pattern 31 Table 3. Computation time of the proposed matching method versus the DP matching method Corresponding pairs Time Proposed method 6947 945 DP matching 7012 1344 unit: ms Fig. 3. 2 Time Efficiency To test time efficiency, we estimated one 3D point reconstruction time. This is because, even for the same object, the number of reconstructed data points were different for each acquisition system.

Kittler, and K. Messer Table 2. 81 M Ci AXi Cross Illum. 53 C i Sj Xi S(3−j) Cross Both It can also be shown that cross-illumination tests on ambient faces gave very poor results. 61%. 57%. 95%. In sharp contrast, the test results on LED faces are consistently good for cross-session tests, cross-illumination tests and the tests invloving their combination. 75%. Due to errors in automatic eye localization, each test on automatically registered data obtained poorer results than the same test on manually registered data.

Table 1(b) shows the total performance of the system. The surprise expression is the expression that highly degrades the performance of the face recognition system. This is due to the fact that for the surprise expression the muscles in the upper and the lower parts of the face are deformed. In other words, the change in face appearance with surprise expression is more than the change for the other expressions. 18 4 M. H. Mahoor Conclusion In this paper, we presented methods for assessing the quality of facial images affected by blurring and facial expressions.

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