Face recognition method and electronic medical record login system using the same

A face recognition and face technology, applied in the field of face recognition, can solve problems such as insufficient accuracy, insufficient speed of face recognition technology, and no introduction of face recognition, achieving high accuracy and convenient login. Fast, fast detection effect

Inactive Publication Date: 2018-11-27
宁波市迈瑞康医疗器械有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing face recognition technology is not fast enough, and the accuracy is not high enough. In addition, face recogn

Method used

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  • Face recognition method and electronic medical record login system using the same
  • Face recognition method and electronic medical record login system using the same
  • Face recognition method and electronic medical record login system using the same

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Experimental program
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Embodiment Construction

[0059] The specific embodiment of the present invention is described further below:

[0060] Such as Figure 1-4 As shown, a face recognition method includes the following steps:

[0061] S1: Obtaining facial images: Read the facial images in the face video detected by the camera. The facial images obtained here use the existing deep learning algorithm, based on machine learning of a large number of materials, to obtain facial images from a large number of pictures and videos , Even in complex environments, multiple faces, poor lighting, and large-angle faces, the interception effect is very good. Use spot metering or focus or assist intelligent monitoring equipment to distinguish whether the face image is detected Human face and other moving objects for intelligent alarm.

[0062] S2: Facial image key point positioning: select a target photo from the facial image acquired in S1 to locate the key point of the face: use the random forest classifier fusion algorithm to analyze...

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Abstract

The invention discloses a face recognition method. The face recognition method includes: S1: acquiring a face image,; S2: positioning face photo key points; S3: tracking and detecting the face: assuming that the face key points performs uniform motion in a unit time interval, adopting a Kalman filter to track the face key points, wherein the Kalman filter performs optimal estimation on the next frame image state on the basis of a previous frame image state equation of a face key point dynamic system and obtains an observation equation for two adjacent frame images of the face key points acquired in the unit time interval; and S4: using the face blink detection to implement face detection. The invention adopts a Viola-Jones detector and the Kalman filter to perform face key point tracking detection, the detection speed is fast, the precision is high, and the stability is good; and the method is applied to the electronic medical record system, and the user login is more convenient and fast, and the safety performance is good.

Description

technical field [0001] The invention belongs to the field of face recognition, and in particular relates to a face recognition method and an electronic medical record system corresponding to the method. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. [0003] The existing face recognition technology is not fast enough, and the accuracy is not high enough. In addition, face recognition has not been introduced in the electronic medical record system, and the safety and convenience need to be further improved. Contents of the invention [0004] In order to overcome the deficiencies of th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G16H10/60
CPCG16H10/60G06V40/165G06V40/172G06F18/285G06F18/2411
Inventor 王臻彦
Owner 宁波市迈瑞康医疗器械有限公司
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