Face identification method and apparatus based on sequencing neural network model

A neural network model and face recognition technology, which is applied in the field of face recognition method and device based on a sequenced neural network model, can solve the problems that face recognition technology cannot meet practical requirements, changes in lighting changes, changes in user posture and expression, and changes in age and body shape and other issues to achieve the effect of improving generalization ability, saving computing time, and improving accuracy

Active Publication Date: 2016-11-09
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

At present, face recognition technology still cannot meet the practical requirements in an outdoor uncontrolled environment. The m

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  • Face identification method and apparatus based on sequencing neural network model
  • Face identification method and apparatus based on sequencing neural network model
  • Face identification method and apparatus based on sequencing neural network model

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Embodiment example

[0061] In order to describe the specific implementation of the present invention and verify the effectiveness of the present invention, we apply the method proposed by the present invention to a public face database——LFW face database. The database includes 5749 individuals with a total of 13233 images.

[0062] In our example, we adopt the standard testing protocol on the LFW dataset to demonstrate the effectiveness of the present invention. The standard test protocol for the LFW dataset consists of 6000 pairs of face images, including 3000 pairs of face images of the same person and 3000 pairs of face images of different people.

[0063] Specific steps are as follows:

[0064] Training process:

[0065] Step S3-1, collecting a large number of face images as training data, and designing a neural network model. In particular, the neural network model we use contains 4 convolutional layers and 4 pooling layers. After each pooling layer, the output is divided into two groups,...

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Abstract

The invention discloses a face identification method and apparatus based on a sequencing neural network model. The method comprises the following steps: performing preprocessing operation on input face images, and correcting angles and expressions of the face images; extracting features of already corrected face images/videos by use of a neural network comprising sequencing operation; and according to feature expression of the face images, calculating similarity between image pairs, and accordingly, obtaining identifies of specific objects in the input face images. According to the invention, a sequencing neural network structure is brought forward for solving the problems of too many parameters and too large calculation cost of a conventional neural network based face identification model in face identification problems, through sequencing expression between different features, network parameters are effectively reduced, and the calculation time is saved; and a training method based on comparison loss and triple loss is brought forward for solving the problem of a quite small number of training data.

Description

technical field [0001] The invention relates to technical fields such as artificial intelligence, pattern recognition, and digital image processing, and in particular to a face recognition method and device based on a sequential neural network model. Background technique [0002] As a kind of biometric identification technology, face recognition has good development and application prospects due to its non-contact and convenient collection characteristics. Face recognition technology has played a very important role in many application scenarios, such as airport security check, border inspection and customs clearance. In recent years, with the rapid development of Internet finance, face recognition technology has shown great application advantages in mobile payment. The purpose of face recognition is to know the user's identity based on the acquired user's face image or video. At present, face recognition technology still cannot meet the practical requirements in an outdoo...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/165G06V40/168
Inventor 孙哲南赫然谭铁牛宋凌霄曹冬侯广琦
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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