Face Recognition under Real-world Conditions

Ladislav Lenc, Pavel Král


This paper deals with Automatic Face Recognition (AFR). The main contribution of this work consists in the evaluation of our two previously proposed AFR methods in real conditions. At first, we compare and evaluate the recognition accuracy of two AFR methods on well-controlled face database. Then we compare these results with the recognition accuracy on a real-world database of comparable size. For such comparison, we use a sub-set of the newly created Czech News Agency (ˇCTK) database. This database is created from the real photos acquired by the ˇCTK and the creation of this corpus represents the second contribution of this work. The experiments show the significant differences in the results on the controlled and real-world data. 100% accuracy is achieved on the ORL database while only 72.7% is the best score for the ˇCTK database. Further experiments show, how the recognition rate is influenced by the number of training images for each person and by the size of the database. We also demonstrate, that the recognition rate decreases significantly with larger database. We propose a confidence measure technique as a solution to identify and to filter-out the incorrectly recognized faces. We further show that confidence measure is very beneficial for AFR under real conditions.


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Paper Citation

in Harvard Style

Lenc L. and Král P. (2013). Face Recognition under Real-world Conditions . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 250-256. DOI: 10.5220/0004237402500256

in Bibtex Style

author={Ladislav Lenc and Pavel Král},
title={Face Recognition under Real-world Conditions},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Face Recognition under Real-world Conditions
SN - 978-989-8565-39-6
AU - Lenc L.
AU - Král P.
PY - 2013
SP - 250
EP - 256
DO - 10.5220/0004237402500256