Paper Info
Title
Face recognition system for smartphone based on LBP
Abstract
This paper presents a face recognition algorithm based on Local Binary Pattern (LBP) to be implemented in a Smartphone with Android operating system where the input image is obtained using the camera of such Smartphone. The LBP algorithm is used for Face characterization, due to its low complexity and its robustness light of this method is chosen to be applied in a Smartphone, this is because the light sensor of smartphone could darken or lighten the captured image and affect a efficient recognition. To perform system testing on a Smartphone was used a standard database (AR Face database) to simulate the capture of images, the average of images was used for obtaining a template by person and using Euclidean distance for classification, showing that the LBP obtains good results using a simple classification algorithm with a Smartphone with limited processing power like a smartphone, further tests were performed with 1 to 9 training images, obtaining up to 90% of recognition.
Year
DOI
Venue
2017
10.1109/IWBF.2017.7935111
2017 5th International Workshop on Biometrics and Forensics (IWBF)
Keywords
Field
DocType
face recognition system,smart phone,local binary pattern,Android operating system,LBP algorithm,face characterization,light sensor,AR face database,Euclidean distance,classification algorithm
Computer vision,Facial recognition system,Android (operating system),Pattern recognition,Three-dimensional face recognition,System testing,Computer science,Euclidean distance,Local binary patterns,Robustness (computer science),Feature extraction,Artificial intelligence
Conference
ISSN
ISBN
Citations 
2381-6120
978-1-5090-5792-4
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jesus Olivares-Mercado1157.23
Karina Toscano-Medina2198.94
Gabriel Sanchez-Perez32813.00
Héctor Pérez-Meana44815.66
Mariko Nakano-Miyatake514429.99