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License plate recognition method and system combining sequence image super-resolution reconstruction

A technology for super-resolution reconstruction and license plate recognition, applied in the field of image license plate recognition methods and systems, can solve problems such as low character recognition rate, achieve good recognition effect, and achieve the effect of positioning effect

Inactive Publication Date: 2015-07-29
INNER MONGOLIA UNIV OF SCI & TECH
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Problems solved by technology

[0009] Aiming at the above-mentioned deficiencies in the prior art, the present invention proposes a license plate recognition method and system combined with sequence image super-resolution reconstruction, which can accurately identify license plates in low-resolution videos; solves the problem of character recognition in low-resolution videos low rate problem

Method used

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  • License plate recognition method and system combining sequence image super-resolution reconstruction
  • License plate recognition method and system combining sequence image super-resolution reconstruction
  • License plate recognition method and system combining sequence image super-resolution reconstruction

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Embodiment 1

[0029] like figure 1 As shown, this embodiment includes the following steps:

[0030] Step 1: Collect low-resolution videos from monitoring equipment in the community, traffic intersection equipment, village street entrances and exits, etc., select suitable simulated low-resolution images from them, and then use the hybrid paradigm combined with BTV regularization algorithm to simulate low-resolution images. The image is reconstructed.

[0031] The mixed paradigm refers to: based on L 1 and L 2 mixed paradigm, where: L 1 Normalized BTV regularization function f 1 and L 2 Normalized BTV regularization function f 2 for:

[0032] f 1 = arg min [ Σ k = 1 K | | y k - DBM ...

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Abstract

The invention relates to a license plate recognition method and system combining sequence image super-resolution reconstruction. The method includes: using a super-resolution reconstruction algorithm on the basis of a L1-L2 hybrid pattern to preprocess video images so as reconstruct clear high-resolution images; performing license plate positioning on the high-resolution images, to be more specific, using HSV color space combining an Otsu algorithm to position license plates, using a vertical projection method to perform character separation on the positioned license plates to obtain single characters, using the HOG feature information of the characters to generate a training set, and using an SVM manner to recognize the separated characters to obtain license plate character strings. By the method, the license plates can be accurately recognized in low-resolution videos, and the problem that the character recognition rate in the low-resolution videos is low is solved.

Description

technical field [0001] The invention relates to a technology in the field of image processing, in particular to an image license plate recognition method and system with a resolution lower than 256*256 combined with sequence image super-resolution reconstruction. Background technique [0002] License plate recognition technology plays an important role in intelligent traffic management system. It plays an important role in maintaining the safe operation of road traffic in the traffic management system. Its general processing flow is: license plate location, character segmentation, license plate character recognition. However, with the rapid popularization of monitoring systems and the generation of a large number of images with different resolutions, the development speed of the license plate recognition system is far behind the speed of information collection by the monitoring system. Most of the surveillance video cannot be processed in depth and more useful information ...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/62
CPCG06V20/63G06V30/153G06F18/2411
Inventor 吕晓琪张奇任国印李银辉谷宇张明
Owner INNER MONGOLIA UNIV OF SCI & TECH
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