High-detection-precision face recognition method

A technology with high detection accuracy and face recognition, applied in the field of face recognition, it can solve the problems of low detection accuracy and few parameters returned in the detection result, and achieve the effect of high recognition accuracy, fast recognition speed and advanced technology.
CN110929583AInactive Publication Date: 2020-03-27湖北讯獒信息工程有限公司
6 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
湖北讯獒信息工程有限公司
Publication Date
2020-03-27
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
Patent Text Reader

Abstract

The invention discloses a high-detection-precision face recognition method, and the method comprises the steps: S1, image collection: employing a high-definition camera to complete the image collection; s2, portrait detection and positioning: positioning and detecting the human face in the image acquisition in the step S1 by using OpenCV, wherein in the step, fuzzy correction processing is included, feature point position marks are extracted, and the distance between the eyebrow center position and the used feature points is used as posture features for re-detection and re-positioning; and S3,feature extraction: completing feature extraction and modeling on the cloud platform by using one or more of boost, mlp, knearest, nbays, svm and rtrees machine learning algorithms, and finally performing model comparison to complete face recognition. The method has the advantages of being high in recognition speed, high in recognition accuracy, advanced in technology, good in system expansibility and the like.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of face recognition, and more specifically, to a face recognition method with high detection accuracy. Background technique

[0002] Face recognition is a biometric technology for identification based on human facial feature information. In addition to the two major fields of security and finance, face recognition has been widely used in transportation, education, medical care, police, e-commerce and many other scenarios, and has shown significant application value. Face recognition is the collection of human facial features and information. For the displayed facial image, first detect whether there is a human face in the shooting lens. Coordinates, shape and other information. After the processor extracts the information, it compares it to known facial features to identify the user. It includes three main contents: face detection, face tracking, and face comparison. The existing face recognition technol...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More