Abstract
This paper presents the application of the algorithm of Local Binary Pattern (LBP) for face feature extraction and its implementation on Android operating system. The algorithm LBP is used for texture characterization and based on good performance was used to face characterization showing a good effectiveness, due to this is chosen to apply in a mobile device. To perform system testing on a mobile device was used a standard database (AR Facedatabase) to simulate the capture of images, which has 120 people and 21 images each, the average of 3 images was used for obtaining a template by person and using Euclidean distance it was obtained a 70 % correct classification, showing that the LBP obtains good results using a simple classification algorithm with a limited processing power as have a mobile device, further tests were performed with 10 people where up to 94 % recognition was obtained.
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We thanks the National Science and Technology Council of Mexico and to the National Polytechnic Institute for the financial support during the realization of this work.
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Calderon-Lopez, M. et al. (2015). Application of a Face Recognition System Based on LBP on Android OS. In: Pichardo Lagunas, O., Herrera Alcántara, O., Arroyo Figueroa, G. (eds) Advances in Artificial Intelligence and Its Applications. MICAI 2015. Lecture Notes in Computer Science(), vol 9414. Springer, Cham. https://doi.org/10.1007/978-3-319-27101-9_27
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DOI: https://doi.org/10.1007/978-3-319-27101-9_27
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