NDLI: OCR-based chassis-number recognition using artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Shah, P. Karamchandani, S. Nadkar, T. Gulechha, N. Koli, K. Lad, K.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, IIT Bombay, Mumbai, India - 400076 (Shah, P.; Karamchandani, S.; Nadkar, T.; Gulechha, N.; Koli, K.; Lad, K.)
Abstract	The automatic detection and recognition of car number plates has become an important application of artificial vision systems. Since the license plates can be replaced, stolen or simply tampered with, they are not the ultimate answer for vehicle identification. The objective is to develop a system whereby vehicle identification number (VIN) or vehicle chassis number is digitally photographed, and then identified electronically by segmenting the characters from the embossed VIN. In this paper we present a novel algorithm for vehicle chassis number identification based on optical character recognition (OCR) using artificial neural network. The algorithm is tested on over thousand vehicle images of different ambient illumination. While capturing these images, the VIN was kept in-focus, while the angle of view and the distance from the vehicle varied according to the experimental setup. These images were subjected to pre-processing which comprises of some standard image processing algorithms. The resultant images were then fed to the proposed OCR system. The OCR system is a three-layer artificial neural network (ANN) with topology 504-600-10. The major achievement of this work is the rate of correct identification, which is 95.49% with zero false identification.
Starting Page	31
Ending Page	34
File Size	335824
Page Count	4
File Format	PDF
ISBN	9781424454426
e-ISBN	9781424454419
DOI	10.1109/ICVES.2009.5400240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Optical computing Licenses Optical fiber networks Optical character recognition software Character recognition Artificial Neural Network (ANN) Vehicles Image segmentation Machine vision Optical Character Recognition (OCR) Vehicle Identification Number (VIN) Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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