基于改进遗传算法的人脸表情图像自动识别系统设计  

Desig n of Automatic Facial Expressi on Image Recog nition System Based on Improved Genetic Algorithm

作　　者：陈伟江[1] CHEN Wei-jiang(Shanghai Art&Design Academy,Shanghai 201808 China)

机构地区：[1]上海工艺美术职业学院,上海201808

出　　处：《自动化技术与应用》2023年第5期35-39,共5页Techniques of Automation and Applications

摘　　要：为解决现有人脸表情图像识别方法中存在的识别效果差、响应时间慢、识别个数少的问题,提出基于改进遗传算法的人脸表情图像自动识别系统。构建系统总体框架,通过服务器端构架采集人脸表情图像信息,对图像资源进行删除或增加操作,从数据库中将没有价值的图像删除,节省系统空间;采用改进遗传算法识别探索采集的信息,划分原始图像,对图像进行预处理,提取并归一化处理训练图片中的特征,获取识别最优解,实现人脸表情图像自动识别。实验结果表明,通过图像识别效果测试、系统响应时间测试和系统识别个数测试,证明系统的识别能力较好,具有一定的实用性。In order to solve the problems of poor recognition effect,slow response time and small number of recognition in the existing facial expression image recognition methods,an automatic facial expression image recognition system based on improved genetic algorithm is proposed.Build the overall framework of the system,collect facial expression image information through the server-side architecture,delete or add image resources,delete worthless images from the database,and save system space;The improved genetic algorithm is used to identify the collected information,divide the original image,preprocess the image,extract and normalize the features in the training image,obtain the optimal recognition solution,and realize the automatic recognition of facial expression image.Hie experimental results show that through the image recognition effect test,system response time test and system recognition number test of this project,it is verified that the recognition ability of this method is good and has certain practicability.

关 键 词：改进遗传算法 表情图像识别 归一化处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]