Journal ArticleDOI
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
TLDR
P pioneering development of two databases for handwritten numerals of two most popular Indian scripts, a multistage cascaded recognition scheme using wavelet based multiresolution representations and multilayer perceptron classifiers and application for the recognition of mixed handwritten numeral recognition of three Indian scripts Devanagari, Bangla and English.Abstract:
This article primarily concerns the problem of isolated handwritten numeral recognition of major Indian scripts. The principal contributions presented here are (a) pioneering development of two databases for handwritten numerals of two most popular Indian scripts, (b) a multistage cascaded recognition scheme using wavelet based multiresolution representations and multilayer perceptron classifiers and (c) application of (b) for the recognition of mixed handwritten numerals of three Indian scripts Devanagari, Bangla and English. The present databases include respectively 22,556 and 23,392 handwritten isolated numeral samples of Devanagari and Bangla collected from real-life situations and these can be made available free of cost to researchers of other academic Institutions. In the proposed scheme, a numeral is subjected to three multilayer perceptron classifiers corresponding to three coarse-to-fine resolution levels in a cascaded manner. If rejection occurred even at the highest resolution, another multilayer perceptron is used as the final attempt to recognize the input numeral by combining the outputs of three classifiers of the previous stages. This scheme has been extended to the situation when the script of a document is not known a priori or the numerals written on a document belong to different scripts. Handwritten numerals in mixed scripts are frequently found in Indian postal mails and table-form documents.read more
Citations
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Journal ArticleDOI
Forecasting Hoabinh Reservoir’s Incoming Flow: An Application of Neural Networks with the Cuckoo Search Algorithm
TL;DR: A solution to the problem of accurate forecasting on the ebb and flow of Vietnam’s Hoabinh Reservoir based on neural network with the Cuckoo Search algorithm is presented and it is expected that this work may be useful for hydrographic forecasting.
Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets
TL;DR: This paper presents a method of recognition of isolated offline handwritten Devanagari numerals using wavelets and neural network classifier, which takes the handwritten numeral image as input.
Proceedings ArticleDOI
Grouping of Handwritten Bangla Basic Characters, Numerals and Vowel Modifiers for Multilayer Classification
Khondker Nayef Reza,Mumit Khan +1 more
TL;DR: This work aims to develop a reliable grouping schema for the similar looking basic characters, numerals and vowel modifiers of Bangla language by using Support Vector Machine (SVM) as it outperforms other classifiers in this field.
Proceedings ArticleDOI
Hand written digit recognition system for South Indian languages using artificial neural networks
Leo Pauly,Rahul D Raj,Binu Paul +2 more
TL;DR: A novel approach for recognition of handwritten digits for South Indian languages using artificial neural networks (ANN) and Histogram of Oriented Gradients (HOG) features is presented.
Proceedings ArticleDOI
A Transfer Learning Approach for Handwritten Numeral Digit Recognition
TL;DR: Using the transfer learning method for handwritten numeral digit recognition can significantly reduce the training time of the deep learning models, and slightly reduces the recognition accuracy.
References
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TL;DR: In this article, a graph transformer network (GTN) is proposed for handwritten character recognition, which can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters.
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TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
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Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.