New PDF release: Advances in Biometrics: International Conference, ICB 2006,

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

ISBN-10: 3540311114

ISBN-13: 9783540311119

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 awarded have been conscientiously reviewed and chosen from 192 submissions. Biometric standards lined by means of the papers are assigned to stand, fingerprint, iris, speech and signature, biometric fusion and function evaluate, gait, keystrokes, and others. moreover the result of the Face Authentication pageant (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

Sample text

The second experiment reports the results of face recognition tests across manually registered data and automatically registered data. The test protocols are the same as those in the first experiment except that manually registered data serves as training set and automatically registered data as test set. Table 2 shows the test errors. Again, test errors on LED faces are much smaller than on ambient faces. Moreover, compared to corresponding tests in the previous experiment, the test errors are similarly poor on ambient faces, and slightly worse on LED faces.

Org (2003) 3. , R. : Face recognition: A literature survey. ACM Computing Surveys 35(4) (2003) 399–458 4. : Statistical models for assessing how features of the human face affect recognition. In: Proceedings of the 17th International Conference on Pattern Recognition. (2004) 5. : Image sharpness measurement in the scanning electron microscope part iii. Scanning 21(4) (1999) 246–252 6. : Encyclopedia of statistical sciences. In: Wiely. (1982) 415– 426 7. : Automatic facial expression analysis: A survey.

Although the experiments in this paper are based on the Eigenface technique, the assessment methods can be extended to other face recognition algorithms. Keywords: Face recognition, Image Quality Assessment, Facial expressions, Blurring Effect, Gaussian Mixture Model. 1 Introduction Face recognition has become one of the most important applications of image analysis and computer vision in recent years. Nowadays, the use of face recognition systems for biometrics is considered by many governments for security in important buildings such as airports and military bases.

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Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006. Proceedings by Kieron Messer, Josef Kittler, James Short, G. Heusch, Fabien Cardinaux (auth.), David Zhang, Anil K. Jain (eds.)


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