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Caffe architecture based deep learning license plate character recognition method

A deep learning and character recognition technology, applied in the field of image recognition, can solve the problem of low recognition accuracy

Active Publication Date: 2016-09-28
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a deep learning license plate character recognition method based on the Caffe framework, which solves the problem that the recognition accuracy of the existing license plate recognition method is not high

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  • Caffe architecture based deep learning license plate character recognition method
  • Caffe architecture based deep learning license plate character recognition method
  • Caffe architecture based deep learning license plate character recognition method

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Embodiment Construction

[0052] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, but the present invention is not limited to these embodiments.

[0053] A schematic flow chart of a deep learning license plate character recognition method based on Caffe architecture of the present invention is shown in 1, which includes two steps,

[0054] The deep learning classifier training process of license plate characters based on Caffe architecture mainly includes the following steps:

[0055] Step 1: The Chinese characters on the license plate mainly include the abbreviations of 22 provinces, 5 autonomous regions, and 4 municipalities directly under the Central Government, such as "Beijing", "Tianjin", "Hebei", "Yu", "E", "Wan", "Zhe", "Su", "Xiang" Liao" and so on, a total of 31 categories; non-Chinese characters mainly include letters A-Z (except I, O) a total of 24 categories, numbers 0-9 a total of 10 categories, a total...

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Abstract

The invention discloses a Caffe architecture based deep learning license plate character recognition method. The method includes a classifier training process and a character recognition process. The classifier training process includes processing characters, separating the characters into a Chinese character set and a non-Chinese character set and constructing a Caffe architecture for learning network structures, and training respectively for obtaining corresponding classifiers. The character recognition process includes creating an index table in advance and processing a captured license plate image, recognizing the captured license plate image with the corresponding classifiers and then obtaining a recognition result through inquiring an index table, and obtaining the final license plate recognition result after combination in sequence. According to the invention, on the basis of deep learning based on the Caffe architecture, a problem of insufficient precision of recognition on inclined, fractured and similar characters in the prior license plate character recognition method is solved and license plate character recognition precision is improved substantially.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a deep learning license plate character recognition method based on a Caffe framework. Background technique [0002] License plate recognition is an important part of the modern intelligent transportation system. It plays an important role in the identification of stolen vehicles and special vehicles. Although there have been many studies on license plate recognition technology, real-time and accurate video license plate recognition still faces great challenges in natural scenes due to factors such as weather, light, shooting angle, shooting location, and wear and deformation. The license plate recognition system includes the steps of license plate positioning, correction, character segmentation and character recognition, among which the license plate character recognition is the last link of the whole license plate recognition and plays a vital role in the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62
CPCG06V20/63G06V30/10G06F18/24G06F18/214
Inventor 赵凡贺建平吉璐杨丹钞蓓英
Owner XIAN UNIV OF TECH
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