Remote identity authentication method based on single training sample face recognition

A technology for identity authentication and training samples, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficulty in obtaining a high recognition rate, and achieve the effect of improving the recognition rate

Active Publication Date: 2013-04-03
SHANDONG SYNTHESIS ELECTRONICS TECH
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Problems solved by technology

[0006] "Identification method based on mobile phone camera combined with face recognition technology" (public number CN 101226591A) provides an identification method based on mobile phone camera combined with face recognition technology in the field of wireless network technology and pattern recognition. The invention patent The application emphasizes that the acquisition terminal is

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  • Remote identity authentication method based on single training sample face recognition

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Embodiment Construction

[0027] The current single training sample face recognition method generally has a low recognition rate, mostly around 65%, and has no market prospect. The inventor believes that only when the recognition rate is greater than 90% can it have the value of industrial application.

[0028] Refer to the attached figure 1 , configure it as a face collection module, and obtain another photo through image or piece of data collection, that is, the face photo on the left in the figure; configure a face photo library, usually the National Population Information Database, the Ministry of Public Security’s chase Databases, bank network verification databases and other matching database files, naturally also include personnel databases of a certain company, which often contain a single photo, such as a face photo of an ID card, and the expression is often relatively single. In addition, most of the configured face photo databases are distributed remotely, and some are stored locally. For e...

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Abstract

The invention discloses a remote identity authentication method based on single training sample face recognition. A sub-feature measuring module is constructed by a moderate face sub-feature training sample, a P-dimensional sample data vector v is further generated, and a training result data set is formed by a machine learning algorithm. In a step 6), a certain picture of a single training sample is judged and an input picture to be recognized is recognized according to the machine learning algorithm and the training result data set, so that recognition rate is greatly increased, and a single training sample face recognition method has an industrial application prospect. In the step 6), the difference between sub-features refers to the distance between two sub-feature vectors in a distance space in topology meaning in general.

Description

technical field [0001] The invention relates to a single training sample face recognition method. Background technique [0002] Face recognition technology is the most representative and challenging important technical direction in the field of biometrics. Face recognition refers to the recognition of one or more faces from static or dynamic scenes based on known face sample databases using image processing and / or pattern recognition techniques. [0003] The current method of identity authentication based on the face recognition algorithm usually adopts the face recognition method of multiple training samples. It is necessary to do a large number of sampling work of multiple photos of a single person before the recognition, and the existing face database of a single person and a single photo in the country cannot be used; at the same time, because this method requires a large amount of collection work in the early stage, for a large number of The algorithm does not apply t...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 方亮许野平
Owner SHANDONG SYNTHESIS ELECTRONICS TECH
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