ATM terminal human face key points partially shielding detection method based on random forest

A random forest method and face key point technology, which is applied in computer parts, instruments, character and pattern recognition, etc., can solve the difficulty of determining the key points of the face, the difficulty of face information matching technology, and the increase of face positioning and identity Problems such as the difficulty of recognition, to achieve good key point detection results, improve accuracy, and broad application prospects

Inactive Publication Date: 2015-10-21
JIANGNAN UNIV
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Problems solved by technology

However, the existing mature face recognition technology mainly recognizes the complete face, and those who commit crimes against ATM terminals often consciously use masks, sunglasses and other objects to cover the face. Face information matching technol

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  • ATM terminal human face key points partially shielding detection method based on random forest
  • ATM terminal human face key points partially shielding detection method based on random forest
  • ATM terminal human face key points partially shielding detection method based on random forest

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[0026] In order to better illustrate the purpose, concrete steps and characteristics of the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings:

[0027] refer to figure 1 , a kind of ATM terminal partial occluded human face key point detection method based on random forest that the present invention proposes, mainly comprises the following steps:

[0028] Step 1. When a user inserts a bank card, collect a face image;

[0029] Step 2, converting the acquired image sequence into a grayscale image, and normalizing it to an image of 480*360 pixels;

[0030] Step 3. Calculate the variance value S of the image, and judge whether it is smaller than the threshold ε. If S[1] , to improve the contrast of the image;

[0031] Step 4: Use the Haarcascade face detection algorithm [2] , locate the specific position of the face from the image;

[0032] Step 5. Estimate the face pose (left bias, frontal face, ri...

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Abstract

The invention discloses an ATM terminal human face key points partially shielding detection method based on a random forest comprises the following steps: acquiring an image when a bank card is inserted into an ATM, improving the gray image contrast degree through a multi-scale Retinex enhancing method, positioning a human face through adoption of a Haarcascade human face detection algorithm, speculating a human face gesture based on a gesture estimation tree model of the random forest, judging a human face shielding type through a Viola Jones frame, and, according to the estimated human face gesture, selecting a random forest key point detection model and calibrating a human face key point of a position which is not shielded. An influence of the gesture on human face key point detection is reduced through gesture pre-estimation based on the random forest, an influence of shielding on a human face characteristic is reduced through automatic recognition of a shielding portion and key point marking of a non-shielding portion, a high-precision human face local characteristic can be provided for ATM-based identity recognition of a shielded human face, and human face identity recognition precision is improved.

Description

Technical field: [0001] The invention belongs to the field of machine vision, and in particular relates to a random forest-based method for detecting key points of human faces partially occluded by ATM terminals. Background technique: [0002] The existing ATM video monitoring system is a passive defense system, the main function is to record the monitoring video, and after the event occurs, the video is used to collect evidence afterwards. This passive defensive approach may delay the best chance to resolve the incident, and even if the evidence is verified, the loss cannot be recovered. [0003] With the rapid development of my country's economy, ATM terminals have penetrated into people's lives. However, the social security situation is becoming more and more complicated, and the crime phenomenon on the ATM terminal is intensifying. The current situation has urgently required the field of ATM security to transform from traditional passive defense to active defense. [...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/161G06V40/172
Inventor 孔军孙凯传蒋敏杨韬高坤
Owner JIANGNAN UNIV
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