Face recognition system for smartphone based on LBP

J. Olivares-Mercado, K. Toscano-Medina, G. Sánchez-Pérez, H. Meana, M. Nakano-Miyatake
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引用次数: 10

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.
基于LBP的智能手机人脸识别系统
本文提出了一种基于局部二值模式(Local Binary Pattern, LBP)的人脸识别算法,该算法将在Android操作系统的智能手机上实现,通过该智能手机的摄像头获取输入图像。LBP算法用于人脸表征,由于其低复杂度和鲁棒性,选择该方法的光应用于智能手机,这是因为智能手机的光传感器可能会使捕获的图像变暗或变亮,影响有效的识别。在智能手机上进行系统测试,使用标准数据库(AR Face数据库)模拟图像的捕获,使用图像的平均值由人获取模板,并使用欧氏距离进行分类,表明LBP在智能手机等处理能力有限的智能手机上使用简单的分类算法获得了良好的结果,进一步使用1 ~ 9个训练图像进行测试,获得了高达90%的识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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