摘要
基于OpenCv利用级联分类器和卷积神经网络算法设计完成了一个人脸检测与性别识别软件系统。系统可以对静态图像及视频图像进行人脸检测,若无人脸,提示未检测到人脸;若有人脸图像,框出人脸区域,并进行性别识别。实验结果表明,本系统基本可达到较高的正确识别率和实时识别的要求。
Based on OpenCv,a software system for face detection and gender recognition is designed and implemented by using cascade classifier and Convolutional Neural Network algorithm.The system can carry out face detection on still images and video images.If there is no face,it indicates that no face has been detected;If there is a face image,frame the face area and identify the gender.The experimental results show that the system can basically meet the requirements of high correct recognition rate and real-time recognition.
作者
刘莎
LIU Sha(College of Engineering and Technology,Yangen University,Fujian Quanzhou 362014,China)
出处
《齐齐哈尔大学学报（自然科学版）》
2019年第6期4-7,共4页
Journal of Qiqihar University(Natural Science Edition)
基金
福建省教育厅科技类项目(JAT170718)
关键词
卷积神经网络
级联分类器
性别识别
convolutional neural network algorithm
cascade classifier
gender recognition
