Performance evaluation of classification techniques for Devanagari script

Enormous applications and the future necessities of image processing area open new paths for researchers. The analysis and recognition of numerous documents in the form of images are the challenging task. The classification is one of the vital phases in the image processing. The methods of classific...

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Bibliographic Details
Published in2015 International Conference on Computing, Communication and Security (ICCCS) pp. 1 - 4
Main Authors Sonawane, M. S., Dhawale, C. A., Misra, Sanjay
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
Analytical models
Classification
Hidden Markov models
Mathematical model
MLP
Multiple signal classification
Nearest neighbor
Neural network
OCR
SFSA
Spectrogram
Speech
Time-frequency analysis
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Summary:Enormous applications and the future necessities of image processing area open new paths for researchers. The analysis and recognition of numerous documents in the form of images are the challenging task. The classification is one of the vital phases in the image processing. The methods of classification must possess the consistency and accuracy. This research analyzes the different classification techniques and the performance analysis is carried out with the help of testing the image classification principles. In this research paper few classification techniques for Devanagari script are considered and evaluated in MATLAB R2014a.
DOI:10.1109/CCCS.2015.7374206