COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
With the advent of technological era, conversion of scanned document (handwritten or printed) into machine editable format has attracted many researchers. This paper deals with the problem of recognition of Gujarati handwritten numerals. Gujarati numeral recognition requires performing some specific...
Main Authors: | M. J. Baheti, K. V. Kale |
---|---|
Format: | Article |
Language: | English |
Published: |
ICT Academy of Tamil Nadu
2012-01-01
|
Series: | ICTACT Journal on Soft Computing |
Subjects: | |
Online Access: | http://ictactjournals.in/paper/ijsc_vol_2_iss_2_2012_1_paper_265to269.pdf |
Similar Items
-
Bagged ensemble of fuzzy classifiers and feature selection for handwritten signature verification
by: Konstantin Sarin, et al.
Published: (2019-10-01) -
Handwritten Gujarati Numerals Classification Based on Deep Convolution Neural Networks Using Transfer Learning Scenarios
by: Parth Goel, et al.
Published: (2023-01-01) -
New Approach of Feature Extraction Method Based on the Raw Form and his Skeleton for Gujarati Handwritten Digits using Neural Networks Classifier
by: K. Moro, et al.
Published: (2014-12-01) -
Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky
by: Arodh Lal Karn, et al.
Published: (2022-01-01) -
Image Retrieval Method Combining Bayes and SVM Classifier Based on Relevance Feedback with Application to Small-scale Datasets
by: Siyu Lai, et al.
Published: (2022-01-01)