Proceedings ArticleDOI
Devanagari handwritten text segmentation for overlapping and conjunct characters- A proficient technique
Binny Thakral,Manoj Kumar +1 more
- pp 1-4
TLDR
A new strategy for the segmentation of conjuncts, and overlapping characters in Devanagari script on Hindi language is shown, focused around Cluster Detection technique and gives 95% correctness for segmenting touching, conjunct characters and 88% effectiveness for overlapping characters.Abstract:
Optical Character Recognition alludes to the methodology of taking images or photos of letters or typewritten content and changing over them into information that a machine can easily interpret, e.g. organizations and libraries taking physical duplicates of books, magazines, or other old printed material and utilizing OCR to put them into computers. Segmentation is the indispensable and most difficult part of OCR process, and it gets to be additionally difficult with handwritten text due to varieties in writing styles and presence of abnormalities. This paper shows a new strategy for the segmentation of conjuncts, and overlapping characters in Devanagari script on Hindi language. The proposed algorithm is focused around Cluster Detection technique and gives 95% correctness for segmenting touching, conjunct characters and 88% effectiveness for overlapping characters.read more
Citations
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Proceedings ArticleDOI
Optical Character Recognition for English Handwritten Text Using Recurrent Neural Network
TL;DR: The aim is to make an OCR which gives an impressive recognition exactness for manually written Text using recurrent neural network, implemented using Conda and used with Tensorflow Framework to improve accuracy.
Journal ArticleDOI
Hindi Text Document Classification System Using SVM and Fuzzy: A Survey
Shalini Puri,Satya Prakash Singh +1 more
TL;DR: A new idea of Hindi printed and handwritten document classification system using support vector machine and fuzzy logic first pre-processes and then classifies textual imaged documents into predefined categories.
Proceedings ArticleDOI
Hindi handwritten character recognition using multiple classifiers
TL;DR: The work proposed in this paper tries to automate recognition of handwritten hindi isolated characters using multiple classifiers usingmultiple classifiers for feature extraction.
Journal ArticleDOI
A Novel Segmentation and Skew Correction Approach for Handwritten Malayalam Documents
TL;DR: A novel methodology for segmenting handwritten Malayalam documents into its constituent lines, words and characters addressing the issues mentioned is presented.
Journal ArticleDOI
Recognition of Devanagari Scene Text Using Autoencoder CNN
TL;DR: This work aims to develop a robust foreground/background segmentation(separation) technique that produces the highest recognition results in the scene text recognition process.
References
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TL;DR: A two pass algorithm for the segmentation and decomposition of Devanagari composite characters/symbols into their constituent symbols and a recognition rate has been achieved on the segmented conjuncts.
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Journal ArticleDOI
Segmentation of Isolated and Touching Characters in Offline Handwritten Gurmukhi Script Recognition
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