Recognition method in allusion to facial images with different dimensions

A technology of face image and recognition method, applied in the field of face image recognition

Inactive Publication Date: 2016-07-06
HEBEI UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The invention provides a recognition method for face images of different scales, aiming to solve the influence of image scale differences on the recognition results during the recognition process of face images of different scales, and improve the recognition accuracy

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  • Recognition method in allusion to facial images with different dimensions
  • Recognition method in allusion to facial images with different dimensions
  • Recognition method in allusion to facial images with different dimensions

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Embodiment Construction

[0025] The present invention implements the hardware and software condition of computer used to be: ASUS notebook, CPU is intel-Corei5-3230M, 2.6GHz, and graphics card is NVIDIAGeForce720M, internal memory 4GB, and operating system is Window7, and software programming language uses Matlab6.5.

[0026] The present invention is described in conjunction with accompanying drawing:

[0027] figure 1 Among them, step S1, obtain the face image through face area detection; step S2, perform DCT transformation on the face image, so that the face images of different scales have the same DCT coefficient; step S3, perform PCA analysis on the transformation result, extract The main features of the image are reduced in dimension; step S4, matching and identification are performed by calculating the matching value between the images.

[0028] Step S1, acquiring a face image.

[0029] The experimental samples include the images in the international common face database ORL (Olivertti Researc...

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Abstract

The invention provides a recognition method in allusion to facial images with different dimensions. The method comprises the following steps: 1, carrying out discrete cosin transformation (DCT) on facial images and obtaining the same DCT coefficient, forming a sample set by a to-be-recognized unknown facial image and a known facial image set for matching, carrying out DCT on each two-dimensional facial grayscale image in the sample set, and selecting 56*46 components from a low-frequency part of a two-dimension DCT coefficient matrix of the transformation result to retain; 2, carrying out principal component analysis (PCA) on the transformed sample set to ensure that the dimensionality of a facial image characteristic value matrix is reduced to 20; and 3, calculating the characteristic matching value between every two the facial images by utilizing a correlation coefficient normalization algorithm, and selecting the facial image with the maximum characteristic matching value as a known facial image matched with the unknown facial image. The method provided by the invention is capable of solving the influences, caused by the image dimension differences of the facial images with different dimensions in the recognition process, on the recognition result, thereby improving the recognition correctness.

Description

technical field [0001] The invention relates to a recognition method of human face images, in particular to a recognition method for different scales of human face images. Background technique [0002] Face recognition is an important part of biometric identification, and it has broad application prospects in public security, real-time monitoring, authority authentication, human-computer interaction and other fields. At present, systems such as access control authentication in sensitive areas, face time attendance, and target person tracking in crowded areas have been put into practical use. [0003] The main methods of face recognition include: template matching method, neural network method, method based on hidden Markov model, face recognition algorithm based on AdaBoost, face recognition method based on geometric features and face recognition method based on algebraic features Wait. These face recognition methods are usually based on the standard face database, and the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/169G06V40/161
Inventor 张欣刘海于红
Owner HEBEI UNIVERSITY
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