NDLI: Vehicle License Plate Character Segmentation Method Based on Watershed Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Lei Chao-yang Liu Jun-hua
Copyright Year	2010
Abstract	Vehicle license plate (VLP) character segmentation is an important procession in the VLP recognition system (VLPRS). Firstly, the binarization image is pre-processed, in which those regions that areas are excessively small and connected with the boundary are eliminated; the left and right boundaries of the first character (Chinese character) and the last one (possibly Chinese character) in the VLP image are obtained, and the auxiliary lines are added to make the character become a connected region. Secondly, the image with the auxiliary lines added is done by Distance Transformation based on City Block to get the corresponding gray image, and then it is segmented by Watershed algorithm (WA). Finally, the boundaries, including left, right, top and bottom ones in the segmented characters, are precisely clipped. This algorithm can address the following problems. First, each part of the Chinese character has disconnected. Second, there is some tilt in the VLP image. Third, there are multi-Chinese characters in the image. The experimental results show the fast processing time and the good performance of the segmentation with respect to other preexisting techniques.
Starting Page	447
Ending Page	452
File Size	317636
Page Count	6
File Format	PDF
ISBN	9781424465958
e-ISBN	9781424465965
DOI	10.1109/MVHI.2010.161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer interfaces Computer vision Licenses Educational institutions Distance transformation Character recognition Automotive engineering Character segmentation Image segmentation Machine vision Watershed algorithm Cities and towns Vehicle license plate Marine vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A method of slant correction of vehicle license plate based on watershed algorithm

An Optimization Algorithm of Vehicle License Plate Correction Based on Minimum Projection Distance

New approaches for license plate recognition system

A license plate recognition system based on machine vision

Vehicle license plate recognition in marketing application

Algorithm for multinational license plate localization and character segmentation

License Plate Recognition Based On Prior Knowledge

A Fast Method for Discovering Vehicle License Plate From Image with Complicated Background

A Vehicle License Plate Detection Method Based on Clustering Analysis

Vehicle License Plate Character Segmentation Method Based on Watershed Algorithm

Similar Documents

A method of slant correction of vehicle license plate based on watershed algorithm

An Optimization Algorithm of Vehicle License Plate Correction Based on Minimum Projection Distance

New approaches for license plate recognition system

A license plate recognition system based on machine vision

Vehicle license plate recognition in marketing application

Algorithm for multinational license plate localization and character segmentation

License Plate Recognition Based On Prior Knowledge

A Fast Method for Discovering Vehicle License Plate From Image with Complicated Background

A Vehicle License Plate Detection Method Based on Clustering Analysis

Vehicle License Plate Character Segmentation Method Based on Watershed Algorithm