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In this hybrid approach, features are automatically extracted using CNN and these features are sent for recognition to the SVM classifier. Author used MNIST dataset and reported promising recognition rate and also performed experiments on reliability analysis.
A hybrid approach for automatic recognition of handwritten ...
dl.acm.org › doi › abs › HIS-2011-0144
Jan 1, 2012 · A hybrid technique is proposed to achieve the objective of recognition of handwritten Devanagari numerals with less time consumption and without sacrificing ...
In this work, a hybrid technique is proposed to achieve the objective of recognition of handwritten Devanagari numerals with less time consumption and without ...
Rotation, scale and translation invariant handwritten Devanagari numeral character recognition using general fuzzy neural network ... Pattern Recognit. 2007. 96 ...
Oct 22, 2024 · We propose a fuzzy-Neural hybrid approach for recognition of hand written Devnagri compound character that uses a rotation invariant rule-based ...
In this paper, we present the implementation of Devanagari handwritten character recognition using deep learning. Hand written character recognition gaining ...
In this study, the Devanagari characters from the manuscripts is recognised using a CapsNet-based method.
Missing: numerals. | Show results with:numerals.
Mar 12, 2021 · This paper proposes a new scheme for handwritten numeral recognition using Hybrid orthogonal polynomials. Gradient and smoothed features are extracted.
An OCR system to read two Indian language scripts: Bangla and Devnagari (Hindi) · Handwritten Numeral Recognition by means of Evolutionary Algorithms.
This paper proposes a Handwritten Devanagari Numerals Recognition (HDNR) technique which is used to identify Devanagari numerals from given digital images, ...