Arabic/Latin and machine-printed/handwritten word discrimination using HOG-based shape descriptor

A Saidani, A Kacem Echi, A Belaid - ELCVIA: electronic letters on …, 2015 - ddd.uab.cat
In this paper, we present an approach for Arabic and Latin script and its type identification
based onHistogram of Oriented Gradients (HOG) descriptors. HOGs are first applied at word …

Pyramid histogram of oriented gradient for machine-printed/handwritten and Arabic/Latin word discrimination

A Saïdani, AK Echi - 2014 6th International Conference of Soft …, 2014 - ieeexplore.ieee.org
This paper considers the problem of script and nature identification at word level. We
introduce Pyramid Histogram of Oriented Gradients (PHOG) features which have been …

How to separate between machine-printed/handwritten and arabic/latin words?

A Kacem, A Saidani, A Belaid - ELCVIA Electronic Letters on …, 2014 - elcvia.cvc.uab.es
How to separate between Machine-Printed/Handwritten and Arabic/Latin Words ? Page 1
Electronic Letters on Computer Vision and Image Analysis 13(1):1-17, 2014 How to separate …

[PDF][PDF] Robust offline Gurmukhi handwritten character recognition using multilayer histogram oriented gradient features

MK Mahto, K Bhatia, RK Sharma - Int J Comput Sci Eng, 2018 - academia.edu
Accept: 19/Jun/2018, Published: 30/Jun/2018 Abstract-Recognizing offline handwritten
characters is a challenging problem and is considered to be more significant than the …

[PDF][PDF] Offline Handwritten Character Recognition using Neural Networks

H Yadav, S Jain - International Journal of Computer Sciences and …, 2019 - researchgate.net
Handwritten character recognition is currently a under research field. A lot research is
getting done in this field in which the point of interest is to receive as higher accuracy as …

Proposition to distinguish machine-printed from handwritten Arabic and Latin words

A Saïdani, AK Echi, A Belaïd - 2014 Information and …, 2014 - ieeexplore.ieee.org
In this work, we gathered some contributions to identify script and its nature. We successfully
employed many features to distinguish between handwritten and machine-printed Arabic …