DocumentCode :
2922642
Title :
Real time road sign recognition system using artificial neural networks for bengali textual information box
Author :
Rahman, Mohammad Osiur ; Mousumi, Fouzia Asharf ; Scavino, Edgar ; Hussain, Aini ; Basri, Hassan
Author_Institution :
Department of Computer Science and Engineering University of Chittagong, -4331, Bangladesh
Volume :
2
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
8
Abstract :
An Automated Road Sign Recognition system using Artificial Neural Network for the Textual Information box inscribing in Bengali is presented in this paper. The system captures real time images every two seconds and saves them as JPG format files. The system processes the images to find out whether they contain images of road signs or not. The textual information of the road signs is detected and extracted from the images. The Bengali OCR system takes the textual information as an input to recognize individual Bengali characters. The Bengali OCR is implemented using Multi layer Perceptron. The output of the Bengali OCR system is compared with the previously enrolled standard Bengali textual road signs. The throughput which comes from the matching process is used as input for the speech synthesizer and finally the system delivers the audio stream to the driver, either in Bengali or in English based on the user settings. After testing this system, the obtained accuracy rate was evaluated at 91.48%.
Keywords :
Artificial neural networks; Character recognition; Data mining; Optical character recognition software; Real time systems; Roads; Speech processing; Speech synthesis; Synthesizers; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631688
Filename :
4631688
Link To Document :
بازگشت