Zernike moment feature extraction for handwritten Devanagari compound character recognition

KV Kale, PD Deshmukh, SV Chavan… - 2013 Science and …, 2013 - ieeexplore.ieee.org
Compound character recognition of Devanagari script is one of the challenging tasks since
the characters are complex in structure and can be modified by writing combination of two or …

[PDF][PDF] Gujarati script recognition: a review

M Maloo, KV Kale - International Journal of Computer Science Issues …, 2011 - Citeseer
This paper is step to locate the researchers, their track in the way for recognizing the
characters from various regional scripts in India. This survey paper would provide a path for …

Visualizing and understanding customized convolutional neural network for recognition of handwritten Marathi numerals

DT Mane, UV Kulkarni - Procedia computer science, 2018 - Elsevier
Numeral recognition is one of the most indispensable applications in pattern recognition.
Recognizing numerals, written in Indian languages is a demanding problem. Devanagari …

An Intelligent Telugu Handwritten Character Recognition Using Multi-Objective Mayfly Optimization with Deep Learning–Based DenseNet Model

VK Sonthi, KN - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
The handwritten character recognition process has gained significant attention among
research communities due to its application in assistive technologies for visually impaired …

[PDF][PDF] A multistage handwritten Marathi compound character recognition scheme using neural networks and wavelet features

S Shelke, S Apte - … Journal of Signal Processing, Image Processing …, 2011 - researchgate.net
Compound characters which are one of the features of Marathi script, derived from
Devanagari, occur frequently in the script. Recognition of these characters poses challenges …

Telugu OCR framework using deep learning

R Achanta, T Hastie - arXiv preprint arXiv:1509.05962, 2015 - arxiv.org
In this paper, we address the task of Optical Character Recognition (OCR) for the Telugu
script. We present an end-to-end framework that segments the text image, classifies the …

1D wavelet transform of projection profiles for isolated handwritten Malayalam character recognition

R John, G Raju, DS Guru - International Conference on …, 2007 - ieeexplore.ieee.org
This paper presents a novel method based on wavelet transform for offline recognition of
isolated handwritten Malayalam characters. Thirty three characters from Malayalam, one of …

Wavelet transform and projection profiles in handwritten character recognition-A performance analysis

G Raju - 2008 16th International Conference on Advanced …, 2008 - ieeexplore.ieee.org
Wavelet transform of Projection profile of character images has been found to be suitable for
machine recognition of handwritten characters. In this work, performance analysis of such a …

Recognition of unconstrained handwritten Malayalam characters using zero-crossing of wavelet coefficients

G Raju - 2006 International Conference on Advanced …, 2006 - ieeexplore.ieee.org
This work focuses on application of Wavelets in offline recognition of unconstrained isolated
handwritten Malayalam characters. The data set consists of 30 samples of each 25 …

Wavelet feature based confusion character sets for Gujarati script

J Dholakia, A Yajnik, A Negi - International Conference on …, 2007 - ieeexplore.ieee.org
Indic script recognition is a difficult task due to the large number of symbols that result from
concatenation of vowel modifiers to basic consonants and the conjunction of consonants …