Finger vein image recognition method based on improved LGS weighted coding

A finger vein and image recognition technology, applied in the field of finger vein image recognition, can solve problems such as the deterioration of finger vein image quality and weaken the quality of the vein network, and achieve the effect of improving the recognition performance

Inactive Publication Date: 2018-09-28
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

[0003] The quality of finger vein images is often severely deteriorated due to light scattering phenomena in biological tissues, which can severely impair the quality of the vein network

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  • Finger vein image recognition method based on improved LGS weighted coding
  • Finger vein image recognition method based on improved LGS weighted coding
  • Finger vein image recognition method based on improved LGS weighted coding

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Embodiment Construction

[0053] The finger vein image recognition method based on the improved LGS weighted coding provided by the present invention will be described in detail below with reference to the drawings and specific embodiments.

[0054] Such as figure 1 As shown, the finger vein image recognition method based on the improved LGS weighted coding provided by the invention comprises the following steps carried out in order:

[0055] 1) Extract the ROI (region of interest) of all the original finger vein images to obtain the ROI image of the finger vein, and then normalize the ROI image of the finger vein to 96*208, so as to carry out the ROI image of the finger vein preprocessing;

[0056] 2) Using k-channel Gabor filter to perform multi-channel filtering on the preprocessed finger vein ROI image, thereby obtaining a plurality of Gabor filter images in different directions;

[0057] Finger vein is a special texture, its distribution in the image and the variation of vein diameter are large,...

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Abstract

A finger vein image recognition method based on improved LGS weighted coding comprises the steps of: performing ROI extraction and normalization on all finger vein images; filtering the finger vein ROI images by a k-channel Gabor filter; for the filtered enhanced images, proposing a symmetric cross-weighted local graph structure coding algorithm; extracting the feature coding map of the corresponding channel filter image by different directional feature codes, and selecting the maximum value of the feature coding value as the final feature coding value. On this basis, a scheme is proposed to obtain the final feature coding image through the steps including dividing the coding image into non-overlapping sub-blocks uniformly, calculating gray histograms of all sub-blocks, and performing similarity matching in series. The invention has the advantages of fully expressing local spatial gradient information between neighborhoods, making the feature expression more stable by extracting feature coding information in multiple directions, and greatly improving the recognition performance by being successfully applied to vein image recognition.

Description

technical field [0001] The invention belongs to the technical field of finger vein image recognition, in particular to a finger vein image recognition method based on improved LGS weighted coding. Background technique [0002] At present, due to people's higher and higher requirements for identification, traditional biometric identification technology has been unable to meet people's needs. With the development of biometric identification technology, vein identification has received widespread attention as a new identification method because of its natural anti-counterfeiting properties and individual differences in internal vascular networks. Compared with traditional biological models (such as DNA, human ears, fingerprints, iris, face and palm prints, etc.), finger vein recognition has the following advantages: (1) It is an internal feature and is not affected by the external environment (temperature, humidity). (2) Universal, widely used, friendly collection method; (3) ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/25G06V10/44G06F18/22
Inventor 杨金锋李树一贾桂敏
Owner CIVIL AVIATION UNIV OF CHINA
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