首页> 外文会议>2016 Conference on Advances in Signal Processing >Face detection and eyes extraction using sobel edge detection and morphological operations
【24h】

Face detection and eyes extraction using sobel edge detection and morphological operations

机译:使用sobel边缘检测和形态学运算进行面部检测和眼睛提取

获取原文
获取原文并翻译 | 示例

摘要

Face detection and eyes extraction has an important role in many applications such as face recognition, facial expression analysis, security login etc. Detection of human face and facial structures like eyes, nose are the complex procedure for the computer. This paper proposes an algorithm for face detection and eyes extraction from frontal face images using Sobel edge detection and morphological operations. The proposed approach is divided into three phases; preprocessing, identification of face region, and extraction of eyes. Resizing of images and gray scale image conversion is achieved in preprocessing. Face region identification is accomplished by Sobel edge detection and morphological operations. In the last phase, eyes are extracted from the face region with the help of morphological operations. The experiments are conducted on 120, 75, 40 images of IMM frontal face database, FEI face database and IMM face database respectively. The face detection accuracy is 100%, 100%, 97.50% and the eyes extraction accuracy rate is 92.50%, 90.66%, 92.50% respectively.
机译:人脸检测和眼睛提取在许多应用中具有重要作用,例如人脸识别,面部表情分析,安全登录等。人脸和眼睛,鼻子等面部结构的检测是计算机的复杂过程。提出了一种利用Sobel边缘检测和形态学运算从正面人脸图像中提取人脸的算法。提议的方法分为三个阶段:预处理,面部区域识别和眼睛提取。在预处理中可以实现图像大小调整和灰度图像转换。面部区域识别通过Sobel边缘检测和形态学操作完成。在最后阶段,借助形态学操作从面部区域提取眼睛。实验分别在IMM正面人脸数据库,FEI人脸数据库和IMM人脸数据库的120、75、40张图像上进行。人脸检测准确率分别为100%,100%,97.50%,眼睛提取准确率分别为92.50%,90.66%,92.50%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号