ORB feature extraction-based palm vein recognition system and method

A feature extraction and recognition system technology, applied in the field of palm vein recognition, can solve the problems of large amount of calculation, insufficient efficiency of real-time collection and recognition, etc., and achieve the effect of excellent processing speed

Inactive Publication Date: 2018-03-23
广州麦仑信息科技有限公司
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Problems solved by technology

[0005] The above method adopts the filter method, which often encounters too much ca

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  • ORB feature extraction-based palm vein recognition system and method
  • ORB feature extraction-based palm vein recognition system and method
  • ORB feature extraction-based palm vein recognition system and method

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Experimental program
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Embodiment 1

[0027] The present invention provides a palm vein recognition method and system based on ORB feature extraction, such as figure 1 As shown, the palm vein recognition system includes a palm vein image acquisition module, a palm vein image preprocessing module, an ORB feature extraction module, a palm vein database module and a palm vein matching recognition module.

[0028] The palm vein image acquisition module uses near-infrared LED monochromatic light-emitting diodes to emit near-infrared light with a wavelength of 700-1000nm on the palm, and uses an infrared imaging camera with a CMOS image sensor to shoot the palm to collect high-definition palm vein images ;

[0029] The palm vein image preprocessing module is connected to the palm vein image acquisition module for data, and the image preprocessing module preprocesses the palm vein image acquired by the image acquisition module. Preprocessing includes performing ROI area positioning, filtering and denoising, and image en...

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Abstract

The invention discloses an ORB feature extraction-based palm vein recognition system. The system comprises a palm vein image acquisition module, a palm vein image preprocessing module, an ORB featureextraction module, a palm vein database module and a palm vein matching recognition module. According to the technical scheme, feature extraction and comparison recognition are carried out on palm vein images based on an ORB feature extraction method. The ORB feature extraction method is combined with the SURF algorithm, so that the method has the characteristics of scale invariance and noise insensitivity. The processing speed of the method is superior to that of other algorithms. The method is rapid in speed and high in efficiency. The method is extremely high in efficiency for the comparison recognition of application scenes large in data volume.

Description

technical field [0001] The invention relates to the technical field of palm vein recognition, in particular to a palm vein recognition system and method based on ORB feature extraction. Background technique [0002] Palm vein recognition is based on the fact that after the hemoglobin of red blood cells in venous blood loses oxygen, it can absorb red light or near-infrared light with a wavelength of 700-1000nm and present darker texture features compared with human skin and muscle tissue. The palm veins are distributed under the surface of the skin, which belong to the internal physiological characteristics of the living palm, and have the characteristics of high security, uniqueness and strong anti-counterfeiting. The near-infrared LED monochromatic light-emitting diode emits near-infrared light to the palm, and the palm vein image is captured and collected through the camera. The obtained palm vein image is preprocessed, feature extracted and compared to verify, so as to ac...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/1318G06V40/1347G06V40/1365
Inventor 谢清禄余孟春特伦斯.古力邹向群
Owner 广州麦仑信息科技有限公司
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