Handwritten Character Recognition using Perceptual Fuzzy-Zoning and Class Modular Neural Networks-Reference-Cited by-同舟云学术

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Handwritten Character Recognition using Perceptual Fuzzy-Zoning and Class Modular Neural Networks

Published:2007-11 Issue: Volume: Page:
ISSN:
Container-title:2007 Innovations in Information Technologies (IIT)
language:
Short-container-title:

Author:

Lajish V.L

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4430361/4430362/04430497.pdf?arnumber=4430497

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey;Artificial Intelligence Review;2023-09-19

2. Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study;Artificial Intelligence Review;2019-06-11

3. Character and numeral recognition for non-Indic and Indic scripts: a survey;Artificial Intelligence Review;2018-01-03

4. An Adaptive Zoning Technique for Word Spotting Using Dynamic Time Warping;2016 12th IAPR Workshop on Document Analysis Systems (DAS);2016-04

5. A Comparative Study of Different Feature Extraction Techniques for Offline Malayalam Character Recognition;Computational Intelligence in Data Mining - Volume 2;2014-12-11

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