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Single-model multi-output age and gender identification method and system based on face

A gender recognition and single-model technology, applied in the field of face recognition, can solve the problems of difficult model deployment, age recognition errors, high memory usage, etc., and achieve the effect of improving accuracy and reducing model overfitting

Inactive Publication Date: 2018-09-25
天眼智通(香港)有限公司
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Problems solved by technology

However, most of the current age and gender recognition models use multiple models for classification prediction, which makes it difficult to deploy the model. Every time it runs, it needs to call images from the database multiple times. The memory usage is high and the efficiency is low. The recognition speed is slowed down. At present, age prediction is mostly done by classification method, which directly leads to a large recognition error of age.

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  • Single-model multi-output age and gender identification method and system based on face
  • Single-model multi-output age and gender identification method and system based on face
  • Single-model multi-output age and gender identification method and system based on face

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[0026] The principles and features of the present invention are described below in conjunction with examples, which are only used to explain the present invention and are not intended to limit the scope of the present invention.

[0027] figure 1 A flow chart of a face-based single-model multiple-output age and gender recognition method provided by the embodiment of the present invention, as shown in figure 1 shown, including the following steps,

[0028] Step 1: Obtain the detected RGB face image using 3-channel reading and normalization processing; image processing directly uses 3-channel color image processing, and the images are uniformly scaled to 128*128, and then cropped, as 80*80 (the training process is randomly cropped, and the verification test only rescales the image), which means that the input of the network is a 3-channel color image of 80*80.

[0029] Step 2, input the processed face image to the CNN feature extraction network composed of multi-layer convolut...

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Abstract

The invention relates to a single-model multi-output age and gender identification method and system based on a face. The method is characterized by cascading age and gender models; through one network model, extracting the characteristic data of an age and a gender; merging the characteristic data of the age and the gender into one piece of characteristic data used for age prediction; and then, using the different output layers to generate one model so as to outputting age and gender identification results in parallel. By using the method, the identification speed and the accuracy of the ageand the gender are increased.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face-based single-model multi-output age and gender recognition method and system. Background technique [0002] In applications such as smart security, new retail smart shopping guide, identity authentication, entertainment and medical care, face gender and age recognition is often used as an auxiliary tool for auxiliary detection and sales. However, most of the current age and gender recognition models use multiple models for classification prediction, which makes it difficult to deploy the model. Every time it runs, it needs to call images from the database multiple times. The memory usage is high and the efficiency is low. The recognition speed is slowed down. At present, age prediction is mostly done by classification method, which directly leads to a large recognition error of age. Contents of the invention [0003] Aiming at the technical problems existing in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/16G06V40/178G06V40/168G06N3/045
Inventor 焦小珍谭卫军
Owner 天眼智通(香港)有限公司
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