TY - GEN
T1 - Application of a face recognition system based on LBP on android OS
AU - Calderon-Lopez, Marco
AU - Torres-Gonzalez, Tadeo
AU - Olivares-Mercado, Jesus
AU - Toscano-Medina, Karina
AU - Sanchez-Perez, Gabriel
AU - Perez-Meana, Hector
AU - Garcia-Sanchez, Silvestre
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Euclidean distance
KW - Face recognition
KW - Local Binary Pattern
KW - Mobile device
UR - http://www.scopus.com/inward/record.url?scp=84952700988&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27101-9_27
DO - 10.1007/978-3-319-27101-9_27
M3 - Contribución a la conferencia
SN - 9783319271002
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 362
EP - 370
BT - Advances in Artificial Intelligence and Its Applications - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Proceedings
A2 - Alcántara, Oscar Herrera
A2 - Lagunas, Obdulia Pichardo
A2 - Figueroa, Gustavo Arroyo
PB - Springer Verlag
T2 - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015
Y2 - 25 October 2015 through 31 October 2015
ER -