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Non-negative feature extraction and face recognition application method, system and storage medium

A feature extraction and face recognition technology, applied in the field of data processing, can solve the problems of poor recognition effect, and the related entropy measure does not have scaling invariance, and achieves the effect of solving lighting problems and high convergence.

Active Publication Date: 2018-12-21
SHENZHEN UNIV
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Problems solved by technology

Since the correlation entropy measure does not have scalability invariance, the recognition effect in the face database with obvious illumination changes is still not very good

Method used

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  • Non-negative feature extraction and face recognition application method, system and storage medium
  • Non-negative feature extraction and face recognition application method, system and storage medium
  • Non-negative feature extraction and face recognition application method, system and storage medium

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Embodiment Construction

[0064] Such as figure 1 As shown, the present invention discloses a method for constructing non-negative feature extraction and face recognition applications, including the following steps:

[0065] Cosine metric characterizes the loss degree step: use the cosine metric between the matrices to characterize the loss degree after matrix decomposition;

[0066] Constructing the objective function step: describe the loss degree step through the cosine metric to form the objective function F(W, H);

[0067] The step of obtaining the updated iterative formula: convert the objective function F(W, H) to form the optimization problem to be solved, and obtain the updated iterative formula of the algorithm by constructing auxiliary functions.

[0068] The construction method also includes a convergence verification step. In the convergence verification step, it is proved that the algorithm has convergence by constructing an auxiliary function.

[0069] A method for constructing non-neg...

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Abstract

The invention provides a construction method for non-negative feature extraction and face recognition application, which comprises the following steps: characterizing loss degree by cosine measure; characterizing loss degree after matrix decomposition by cosine measure between matrices; and determining loss degree by cosine measure between matrices. A method for constructing an objective functioncomprises that step of characterizing a loss degree by a cosine measure to form an objective function; obtaining an update iteration formula: the objective function is transformed to form the optimization problem to be solved, and the updated iterative formula of the algorithm is obtained by constructing auxiliary function. The invention has the advantages that: 1. the illumination problem encountered in the face recognition process is solved; 2. the convergence of the algorithm proposed by the invention is not only proved in theory by using auxiliary function, but also verified in experiment,and our algorithm has higher convergence; 3. compared with the related algorithm in the face database with illumination influence, the result shows that the algorithm of the invention has certain superiority.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a non-negative feature extraction and face recognition application method, system and storage medium. Background technique [0002] With the advent of the information age, biometrics, which uses the inherent physiological and behavioral characteristics of the human body for personal identification, has become one of the most active research fields. Among the many branches of biometric technology, the most easily accepted technology is face recognition technology, because compared with other biometric technologies, face recognition is non-invasive, non-mandatory, and non-contact. and concurrency. [0003] Face recognition technology consists of two stages. The first stage is feature extraction, which is to extract the face feature information in the face image. This stage directly determines the quality of face recognition technology; the second stage is identification. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06F18/214
Inventor 陈文胜陈海涛
Owner SHENZHEN UNIV
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