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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 …
machine learning in recent years. Handwriting recognition systems have a variety of …
Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives
The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks
In spite of advances in object recognition technology, handwritten Bangla character
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach
In this work, a novel deep learning technique for the recognition of handwritten Bangla
isolated compound character is presented and a new benchmarkof recognition accuracy on …
isolated compound character is presented and a new benchmarkof recognition accuracy on …
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts
Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …
one person to another, as well as for a single individual from time to time, make this task …
Isolated Bangla handwritten character recognition with convolutional neural network
The handwritten character recognition (HCR) problem has been studied extensively during
the last few decades with varying level of success. Although one of the earliest optical …
the last few decades with varying level of success. Although one of the earliest optical …
A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition
Identifying the most informative local regions of a handwritten character image is necessary
for a robust handwritten character recognition system. But identifying them from a character …
for a robust handwritten character recognition system. But identifying them from a character …
Recognition of handwritten characters using local gradient feature descriptors
In this paper we propose to use local gradient feature descriptors, namely the scale invariant
feature transform keypoint descriptor and the histogram of oriented gradients, for …
feature transform keypoint descriptor and the histogram of oriented gradients, for …
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 …
Bornonet: Bangla handwritten characters recognition using convolutional neural network
Bangla handwriting recognition is becoming an important issue in several years but it
becomes a challenge to get good performance due to the alignment and many of them are …
becomes a challenge to get good performance due to the alignment and many of them are …