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Face image processing method and device

A face image and processing method technology, applied in the field of image processing, can solve the problems of slow face feature extraction and large amount of calculation, and achieve the effect of improving the calculation speed and preventing over-fitting.

Inactive Publication Date: 2018-05-04
SHANGHAI ISVISION INTELLIGENT RECOGNITION TECH
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Problems solved by technology

[0004] However, when extracting facial features in an image, the amount of calculation is large, and the extraction speed of facial features is slow

Method used

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  • Face image processing method and device
  • Face image processing method and device
  • Face image processing method and device

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Embodiment Construction

[0028] In the prior art, a linear classifier is usually used to identify ID photos. Existing linear classifiers usually extract a variety of facial features in various ways, such as using local binary pattern (Local Binary Pattern, LBP) to obtain local texture features, using scale-invariant feature transform (Scale-invariant Feature Transform, SIFT ) to obtain the key points in the image, use the Gabor filter to extract the face features in the face image, etc., and fuse the extracted multiple face features to improve the extraction accuracy of the face features. However, when extracting facial features in an image, the amount of calculation is large, and the extraction speed of facial features is slow.

[0029]In the embodiment of the present invention, normalization processing is performed on the face image to be processed to obtain a standard face image with a preset standard size, and the standard face image is input into a fully connected neural network for deep learning...

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Abstract

The invention discloses a face image processing method and device. The method comprises the following steps of: receiving an input to-be-processed face image; normalizing the to-be-processed face image to obtain a standard face image with a preset standard size; inputting the standard face image into a deep learning-based full-connection neural network; and mapping and outputting a face template corresponding to the to-be-processed face image by adoption of the trained full-connection neural network. By adoption of the method and the device, the face feature extraction speed can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a face image processing method and device. Background technique [0002] At present, the photo of the ID card mainly includes: a photo of the ID card in the database, a photo on the surface of the ID card, and a photo inside the body of the ID card. [0003] In the prior art, a linear classifier is usually used to identify ID photos. Existing linear classifiers usually extract a variety of face features in various ways, such as using Local Binary Pattern (LBP) to obtain local texture features of face images, and using Scale-invariant Feature Transform (Scale-invariant FeatureTransform , SIFT) to obtain the key points in the image, use the Gabor filter to extract the face features in the face image, etc., and fuse the extracted multiple face features to improve the extraction accuracy of the face features. [0004] However, when extracting facial features in an ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/164G06V40/169G06F18/241
Inventor 赵文忠
Owner SHANGHAI ISVISION INTELLIGENT RECOGNITION TECH
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