Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey

S Singh, A Sharma, VK Chauhan - Artificial Intelligence Review, 2023 - Springer
Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

Handwriting recognition in indian regional scripts: a survey of offline techniques

U Pal, R Jayadevan, N Sharma - ACM Transactions on Asian Language …, 2012 - dl.acm.org
Offline handwriting recognition in Indian regional scripts is an interesting area of research as
almost 460 million people in India use regional scripts. The nine major Indian regional …

Deep belief network based approach to recognize handwritten Kannada characters using distributed average of gradients

S Karthik, K Srikanta Murthy - Cluster Computing, 2019 - Springer
Even though various advances have been made in recent years, the recognition of
handwritten characters is still an open challenge in the Pattern Recognition field. Different …

[PDF][PDF] A novel approach of handwritten character recognition using positional feature extraction

SA Vaidya, BR Bombade - … Journal of Computer Science and Mobile …, 2013 - academia.edu
In this paper, we have presented a method of feature extraction for handwritten character
recognition. We showed that our method, despite its simplicity, yields good classification …

Classification of ancient epigraphs into different periods using random forests

A Soumya, GH Kumar - 2014 Fifth International Conference on …, 2014 - ieeexplore.ieee.org
Epigraphists, who identify the ancient inscriptions, reconstruct, translate, draw conclusions
about the writings, and classify their uses according to dates, are decreasing in number and …

Improved model configuration strategies for Kannada handwritten numeral recognition

GD Upadhye, UV Kulkarni, DT Mane - Image Analysis and Stereology, 2021 - ias-iss.org
Handwritten numeral recognition has been an important area in the domain of pattern
classification. The task becomes even more daunting when working with non-Roman …

Handwritten Kannada numerals recognition using histogram of oriented gradient descriptors and support vector machines

S Karthik, KS Murthy - Emerging ICT for Bridging the Future-Proceedings of …, 2015 - Springer
The role of a good feature extractor is to represent an object using numerical measurements.
A good feature extractor should generate the features, which must support the classifier to …

A comparison of machine learning techniques for handwritten| Xam word recognition

K Williams, H Suleman, JK do R. Paihama - Proceedings of the South …, 2013 - dl.acm.org
The Bleek and Lloyd collection contains 19th century handwritten notebooks that document
the language and culture of the| Xam-speaking people who lived in Southern Africa. Access …

Learning to read Bushman: automatic handwriting recognition for Bushman languages

K Williams - 2012 - pubs.cs.uct.ac.za
The Bleek and Lloyd Collection contains notebooks that document the tradition, language
and culture of the Bushman people who lived in South Africa in the late 19th century …

[PDF][PDF] Journal Homepage:-www. journalijar. com

P Shetteppanavar, A Dara - academia.edu
The recognition of text in natural scene images captured from camera inbuilt mobile phones
has been current topic of interest in pattern recognition. The text in scene images is useful …