Plate number character vote algorithm based on SVM (support vector machine) confidence

A confidence and character technology, applied in the field of computer vision, can solve problems such as wrong voting results, achieve the effect of improving recognition accuracy, reducing the number of target categories, and ensuring accuracy

Inactive Publication Date: 2013-11-13
PCI TECH GRP CO LTD
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Problems solved by technology

[0004] By reviewing existing patents, there is little research on the license plate voting mechanism. XOR adopts simple voting ba

Method used

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  • Plate number character vote algorithm based on SVM (support vector machine) confidence
  • Plate number character vote algorithm based on SVM (support vector machine) confidence
  • Plate number character vote algorithm based on SVM (support vector machine) confidence

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specific Embodiment approach

[0015] (1) Use the adboost algorithm based on haar features for license plate detection. If a license plate is detected, turn on voting and set no_plate_cnt=0. If no license plate is detected, then no_plate_cnt++, no_plate_cnt reaches a certain threshold or the number of votes reaches a certain threshold. Consider Vehicles leave, voting stopped.

[0016] (2) Use SVM for character recognition and output confidence. Since license plates in mainland China include Chinese characters, letters, and numbers, in order to improve the recognition accuracy, three classifiers were trained, namely Chinese character classifiers, letter classifiers, and alphanumeric classifiers. Multi-class classification, using multiple two-class voting methods, calculates the distance between the current feature vector and the support vector according to the support vectors of the two classes. The distance reflects the confidence of character recognition. If the distance is small, the confidence is high, a...

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Abstract

The invention discloses a plate number character vote algorithm based on SVM confidence. Aiming at a plate number recognition system based on video flows, the plate number character vote algorithm based on the SVM confidence is designed. The method comprises the steps as follows: whether voting is performed is determined according to a plate number detection result; then aiming at characteristics of plate numbers in mainland China, three SVM classifiers are trained respectively, SVMs are used for performing character recognition, and confidence corresponding to each character is output; and finally, a recognition result of each frame is voted according to the confidence, characters with the maximum confidence are selected when the voting is ended, so that a correct plate number is formed. According to the method, the plate number output finally can be guaranteed to have the highest reliability; and for conditions that the light condition is poorer, the image quality is poor, plate numbers are dirty, and the like, higher recognition rates are also realized after voting processing.

Description

technical field [0001] The present invention relates to computer vision technology, in particular to a license plate character voting algorithm based on SVM confidence Background technique [0002] With the development of computer technology and information processing technology, the information processing ability of computer has been continuously improved, and computer vision technology has been widely used in intelligent transportation and electronic police systems based on multimedia, pattern recognition and artificial intelligence technology around the world. Among these applications, 96% of the automated systems use the automatic license plate recognition technology, and more than 75% of the systems use license plate recognition as the core application. [0003] The accuracy of the license plate recognition system is not only related to the selected algorithm, but also related to the quality of the image, shooting angle and lighting conditions. Especially for general t...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 吴志伟冯琰一张少文
Owner PCI TECH GRP CO LTD
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