Face recognition method combining dual-tree complex wavelet transform and discrete wavelet transform

A technology of discrete wavelet transform and dual tree complex wavelet, which is applied in character and pattern recognition, instruments, computer parts, etc., to achieve the effects of reducing calculations, enriching face feature extraction, and improving recognition accuracy

Inactive Publication Date: 2012-04-11
HUNAN UNIV
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  • Abstract
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Problems solved by technology

[0004] In order to solve the above-mentioned technical problems existing in the existing face recognition methods, the present invention provides a face recognition method that combines dual-tree complex wavelet transform and discrete wavelet transform with high recognition accuracy

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  • Face recognition method combining dual-tree complex wavelet transform and discrete wavelet transform
  • Face recognition method combining dual-tree complex wavelet transform and discrete wavelet transform
  • Face recognition method combining dual-tree complex wavelet transform and discrete wavelet transform

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Embodiment Construction

[0017] Such as Figure 1-5 As shown, the specific implementation steps of the present invention are as follows:

[0018] 1. Extraction of facial features

[0019] The feature extraction of face images is realized by combining DT-CWT and DWT. The steps are as follows:

[0020] The first step: for each given face image I, perform DT-CWT (two-dimensional dual tree complex wavelet transform) in 4 levels and 6 scale directions to obtain a complex coefficient matrix of 24 scale subbands. By calculating the amplitude value of the complex coefficient of each subband matrix, it is transformed into a real number matrix, that is, the amplitude matrix of the subband.

[0021] Step 2: Expand each amplitude matrix in the column direction, arrange it into a column vector, use V u，v Represents (where u ∈ {1, 2, 3, 4} and v ∈ {±15°, ±45°, ±75°} represent the scale parameter and direction parameter of DT-CWT, respectively). Then, the face feature vector X can be obtained by connecting the column vect...

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Abstract

The invention discloses a face recognition method combining dual-tree complex wavelet transform and discrete wavelet transform. The method comprises the following steps of: carrying out feature extraction on an input face image by using a method combining dual-tree complex wavelet transform and discrete wavelet transform; carrying out dimension reduction on an extracted feature vector X by using a supervised locally linear embedding method; carrying out cosine similarity calculation on the feature vector of the tested face image and the feature vectors of training set images; and setting the input image and a training image with highest similarity into one group so as to obtain a face recognition result. By utilizing the method combining dual-tree complex wavelet transform and discrete wavelet transform, multidirectional and abundant face feature extraction can be realized and dimension reduction can be realized quickly, thereby realizing accurate and efficient face recognition.

Description

Technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and particularly relates to a face recognition method that combines dual-tree complex wavelet transform and discrete wavelet transform. Background technique [0002] Face recognition is not only the most commonly used means of identity confirmation in people’s daily life, but also an important part of biometric recognition technology. It involves many research fields such as image processing, pattern recognition, and computer vision. It is extremely challenging and is currently domestic and foreign. One of the most concerned topics in security research. Because face recognition is non-contact and non-invasive, people will not reject this technology, so face recognition technology is the most friendly biometric technology. In addition, because of its advantages of simple operation, intuitive results, and good concealment, face recognition has a wide range of applicatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 李树涛龙剑锋
Owner HUNAN UNIV
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