基于人工蜂群算法的人脸识别

Face Recognition Based on Artificial Bee Colony Algorithm

针对别人脸图像问题,提出了一种基于人工蜂群的人脸识别算法,首先使用主成分分析法提取出人脸的主要特征,然后结合人工蜂群算法进行图像分类识别。该算法不仅能在应用中进行有效局部搜索,还具有实现简单、适用性强的优点,可在较短时间内获得更具区分能力的识别数据。使用人脸库中不同姿势、神情、光照、造型的图像进行仿真实验,识别准确率较高达到了96.7%,说明该方法的有效性。

In orcler to recognize face imnges,a face recognition algorithm based on artificial colony has been proposed.The main features of face have been extracted by the principal component analysis,and the artificial colony algorithm misused for image classification.This algorithm not only carries out local search effectively in application,but also has the advantages of simple implementation and strong applicability.It can obtain more discriminative recognition data in a short processing time.Simulation experiments were conducted using images of different poses,expressions,lighting and shapes in the face database.The96.7%recognition accuracy indicates the effectiveness of the method.