International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 101 - Issue 15 |
Published: September 2014 |
Authors: Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee |
![]() |
Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee . An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm. International Journal of Computer Applications. 101, 15 (September 2014), 36-41. DOI=10.5120/17766-8883
@article{ 10.5120/17766-8883, author = { Suprokash Dey,Amitava Choudhury,Joydeep Mukherjee }, title = { An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 101 }, number = { 15 }, pages = { 36-41 }, doi = { 10.5120/17766-8883 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Suprokash Dey %A Amitava Choudhury %A Joydeep Mukherjee %T An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm%T %J International Journal of Computer Applications %V 101 %N 15 %P 36-41 %R 10.5120/17766-8883 %I Foundation of Computer Science (FCS), NY, USA
This paper describes an efficient technique of locating and extracting license plate and recognizing each segmented character. The proposed model can be subdivided into four parts- Digitization of image, Edge Detection, Separation of characters and Template Matching. In this work, we propose a method which is based on morphological operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region and enhance plate region. Character segmentation is done using Connected Component Analysis. Correlation based template matching technique is used for recognition of characters. This system is implemented using MATLAB7. 4. 0. The proposed system is mainly applicable to Indian License Plates.