The Research Of Face Features Extraction Methods Based On Semantic Features

With the rapid development of information technology,computer technology and network technology,visual face images resources will become more and more.Establishing a rapid and efficient mechanism for face image retrieval has become urgent problem in electronic information field.My paper determine the research of face features extraction methods based on semantic features.It will use digital image processing technology,facial recognition technology and traditional database retrieval techniques,fusing the advantages of text-based image retrieval and content-based image retrieval to avoid the tedious process of matching face image.First of all,structure-based methods,I use adaptive color mapping method from the input images automatically identify the location of face;secondly,use the original gray image integral projection method will pick up major face organs from the face images automatically;then the geometric characteristics of the face detection organ to set different facial organs parameters,in accordance with these range of parameters for data classification and translated into visualization of the semantic description;Finally,the visualization of the semantic description compose a face together and design a semantic face image retrieval system which can fast search through semantic database to retrieve a certain amount of similar face images. In order to achieve fast and accurate retrieval purposes.With 200 human being tested samples retrieval experiment,correct retrieved is 155,exactly match is 125,system recognition rate is 75.55%,average retrieval time < 0.1s. Experimental results show that the algorithm has strong robustness,use this method to establish the semantic face image retrieval system with fast,efficient and practical character.