基于肤色与脸部特征提取的人脸检测

Face Detection Based on Skin Color and Face Feature Extraction

人脸检测与识别技术属于生物特征验证手段的一种,可应用于视觉监测、安全访问控制与智能用户接口等多个领域。而人脸检测在人脸识别中占据重要地位。在肤色模型和小波变换有效结合的基础上,即可对人脸进行确定,特别是眼睛位置。经过小波变换处理,结合几何位置展开检测,并使用Fisher分类器即可对嘴巴的位置进行检测。在全新的技术支持下,可以在短时间内准确检测人脸,精准度较高。基于此,文章将肤色和脸部特征提取作为重要基础,重点阐述人脸检测的实现路径,希望对人脸检测与识别技术的发展有所帮助。

Face detection and recognition technology belongs to the means of biometric verification,and can be applied in many fields such as visual monitoring,secure access control and intelligent user interface.Face detection plays an important role in face recognition.Based on the effective combination of skin color model and wavelet transform,the face can be determined.Especially eye position,after wavelet transform processing,combined with geometric position detection,and using Fisher classifier can detect mouth position.With the new technology support,it can detect face accurately in a short time with high accuracy.Based on this,this paper takes skin color and face feature extraction as an important basis,focusing on the implementation path of face detection.I hope it will be helpful to the development of face detection and recognition technology.