Paper Title :Marathi Character Recognition Using Ant Miner Algorithm
Author :Urmila Shinde, Vanita Mane, Rajashree Shedge
Article Citation :Urmila Shinde ,Vanita Mane ,Rajashree Shedge ,
(2014 ) " Marathi Character Recognition Using Ant Miner Algorithm " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 101-107,
Volume-2,Issue-10
Abstract : Optical Character Recognition (OCR) is an interesting and challenging field of research in pattern recognition,
artificial intelligence and machine vision and is used in many real life applications. The work done for the recognition of
Devanagari handwritten script is negligible in literature despite it is being used by millions people in India and abroad and it
has numerous applications. Research on Optical Character Recognition OCR of Devnagari script is very challenging due to the
complex structural properties of the script that are not observed in most other scripts. Devnagari is the script for Marathi. The
Marathi language contains 49 distinct characters, 12 vowels and 37 consonants. Recognition of Devnagari characters poses
great challenge due to the large variety of symbols and their proximity in appearance. Feature extraction and classification are
the two very important steps in Optical character recognition. In this paper we have used three sets of feature extraction
techniques namely Hu’s moment invariant, zoning with Hu moment and Zoning with Hu’s moment and radon transform. Here
we have proposed Ant Miner Algorithm (AMA) for classification. The AMA is a rule-based approach. The rules are
incrementally tuned during the training. The result of this experiment is a 96.94% recognition rate of the training set and
82.21% recognition rate of unseen data test
Type : Research paper
Published : Volume-2,Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-1336
View Here
Copyright: © Institute of Research and Journals
|
|
| |
|
PDF |
| |
Viewed - 64 |
| |
Published on 2014-10-06 |
|