Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
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 …
machine learning in recent years. Handwriting recognition systems have a variety of …
Optical character recognition: an overview and an insight
D Berchmans, SS Kumar - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Many researches are going on in the field of optical character recognition (OCR) for the last
few decades and a lot of articles have been published. Also a large number of OCR is …
few decades and a lot of articles have been published. Also a large number of OCR is …
Handwriting recognition in indian regional scripts: a survey of offline techniques
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 …
almost 460 million people in India use regional scripts. The nine major Indian regional …
A novel nearest interest point classifier for offline Tamil handwritten character recognition
Handwritten character recognition is the most widely used branch of study in image pattern
recognition. Tamil, the official language of Tamil Nadu in South India, Sri Lanka, Singapore …
recognition. Tamil, the official language of Tamil Nadu in South India, Sri Lanka, Singapore …
Offline character recognition on segmented handwritten Kannada characters
KG Joe, M Savit… - 2019 global conference …, 2019 - ieeexplore.ieee.org
Optical character recognition (OCR) is the conversion of pictures of typed or handwritten
characters into machine encoded characters. We chose to work on a subfield of OCR …
characters into machine encoded characters. We chose to work on a subfield of OCR …
Isolated handwritten Tamil character recognition using convolutional neural networks
In this digital era, the demand for character recognition systems in various languages has
been increasing steadily. Tamil is one of the oldest languages spoken till date and the need …
been increasing steadily. Tamil is one of the oldest languages spoken till date and the need …
Hindi handwritten word recognition using HMM and symbol tree
S Belhe, C Paulzagade, A Deshmukh, S Jetley… - Proceeding of the …, 2012 - dl.acm.org
The proposed approach performs recognition of online handwritten isolated Hindi words
using a combination of HMMs trained on Devanagari symbols and a tree formed by the …
using a combination of HMMs trained on Devanagari symbols and a tree formed by the …
UHTelPCC: a dataset for Telugu printed character recognition
This paper describes how UHTelPCC, a dataset for Telugu printed character recognition, is
created and its characteristics. The dataset is created from characters extracted from images …
created and its characteristics. The dataset is created from characters extracted from images …
Statistical features based character recognition for offline handwritten Tamil document images using HMM
S Abirami, V Essakiammal… - International Journal of …, 2015 - inderscienceonline.com
Offline handwritten recognition has been one of the active and challenging research areas
in the field of pattern recognition. More research work has been done for English, Chinese …
in the field of pattern recognition. More research work has been done for English, Chinese …
Combining Zernike moments with regional features for classification of handwritten ancient tamil scripts using extreme learning machine
Handwritten Tamil character recognition is one of the active areas in research. Due to high
variability of writing styles, develo** handwritten character recognition system is a big …
variability of writing styles, develo** handwritten character recognition system is a big …