基于支持向量机的人脸识别

S. Varshini, Gottimukkala Sarayu Varma, Sarada Jayan
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引用次数: 0

摘要

本文提出的工作是利用MATLAB软件,利用支持向量机算法建立人脸识别模型。利用Faces94数据库和FEI数据库两种不同的图像数据库,对所开发的人脸识别模型的效率进行了测试,并考虑了这两个数据库中的一些图像。除了考虑两个数据库中的图像外,还考虑了一些自定义失真的图像来测试模型。本研究的主要目的是检验支持向量机算法借助MATLAB的视觉词包模块在人脸识别领域的应用效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition Using Support Vector Machine In MATLAB
The proposed work is to make use of the support vector machine algorithm in building a face recognition model using the MATLAB software. The efficiency of the face recognition model that is developed is tested by making use of two different image databases called the Faces94 database and the FEI database by considering a few images in both the databases. Apart from the images considered from the two databases, a few more images with some customized distortions were also taken into consideration to test the model. The main objective of this work is to check how the support vector machine algorithm with the aid of the bag of visual words module from MATLAB would work when used in the domain of face recognition.
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