Clustering and reclassifying face recognition method

A technology of face recognition and reclassification, which is applied in the field of face recognition of clustering and reclassification, which can solve the problems of calculating the mean value of face feature vectors and the loss of local information, so as to reduce the intra-class distance, improve accuracy, and reduce information lost effect

Inactive Publication Date: 2016-12-21
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a face recognition method of clustering and reclassification, and solve the problem of fa

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  • Clustering and reclassifying face recognition method
  • Clustering and reclassifying face recognition method

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Embodiment Construction

[0031] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0032] Such as figure 1 As shown, the present invention proposes a face recognition method for clustering and reclassification. The method takes multiple targets and extracts 10 face images for each target as an example. The specific recognition is as follows:

[0033] Step 1. Obtain training samples.

[0034] The training samples include several face images of the target and identity information of the target corresponding to each image. And the training sample can be obtained by using the face detection method to obtain the target's face image, or by using the directly input target's face image.

[0035] Among them, the process of using the face detection method is as follows: through the image acquisition device, perform face detection on the target to be added, detect and lock the target face, and collect and obtain the target face image; set the intercept...

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Abstract

The invention discloses a clustering and reclassifying face recognition method, which comprises the steps of acquiring a training sample; carrying out equalization processing on the training sample; carrying out Gabor texture feature extraction on face images, and acquiring a feature vector corresponding to each face image after feature extraction; carrying out dimension reduction on acquired Gabor texture features of each face image to acquire feature vectors after dimension reduction; carrying out a clustering operation until distance convergence so as to complete clustering; classifying all of the clustered feature vectors to acquire a plurality of subclasses, calculating to determine each vector mean value, and calculating to acquire a within-class distance and an among-class distance; carrying out feature extraction and preprocessing on face images of a target to be recognized, acquiring a feature vector after projection transformation, and calculating the distance between the acquired feature vector and the feature vectors in each subclass sequentially so as to acquire the similarity; and determining identity information of the target to be recognized. The method disclosed by the invention can shorten the among-class distance so as to reduce an error in the acquisition process, and the accuracy of face recognition is improved.

Description

technical field [0001] The invention relates to a face recognition method based on clustering and reclassification, and belongs to the technical field of video image processing. Background technique [0002] Face recognition is a common technology in modern life. It is a biometric-based recognition method. Compared with fingerprint and iris recognition, which belong to biometric recognition, face recognition does not require direct contact and does not require special External devices have the advantage of being simple and fast. Therefore, face recognition technology is widely used in many fields, and face feature extraction and pattern recognition in face recognition technology are one of the hot spots based on biometric research in recent years. [0003] At present, face recognition technology has been widely used in government, banking, e-commerce, security and defense and other fields. For example, bank depositors can deposit and withdraw directly from ATMs equipped wi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06V40/168G06F18/23213
Inventor 李晓飞丁剑楠刘浏
Owner NANJING UNIV OF POSTS & TELECOMM
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