Identification of Digital Traffic Signals Indicator Based on BP Neural Network

doi:10.3969/j.issn.1006-2475.2013.04.020

Computer and Modernization ›› 2013, Vol. 1 ›› Issue (4): 77-80.doi: 10.3969/j.issn.1006-2475.2013.04.020

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Identification of Digital Traffic Signals Indicator Based on BP Neural Network

REN Yong¹, PENG Jing-yu²

1. School of Computer Science and Technology, Soochow University, Suzhou 215006, China;2. Applied Technology College of Soochow University, Suzhou 215325, China

Received:2013-03-15 Revised:1900-01-01 Online:2013-04-17 Published:2013-04-17

Abstract

Abstract: Identification of digital traffic signals indicator is the process of analyzing image content based on the characteristics of digital indicator to identify, classify and recognize digital indicator target, including pretreatment, positioning, segmentation, identification and etc. This paper designs a more simple, accurate digital signal light recognition method by using the target detection algorithm based on the color-shape characteristics and the recognition algorithm based on BP neural network. Simulation experiments results show that this method is of higher accuracy rate and execution efficiency.

Key words: BP neural network, semaphores recognition, digital indicator

CLC Number:

TP391

REN Yong;PENG Jing-yu . Identification of Digital Traffic Signals Indicator Based on BP Neural Network[J]. Computer and Modernization, 2013, 1(4): 77-80.

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Identification of Digital Traffic Signals Indicator Based on BP Neural Network

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