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 …
Script identification in natural scene image and video frames using an attention based convolutional-LSTM network
Script identification plays a significant role in analysing documents and videos. In this paper,
we focus on the problem of script identification in scene text images and video scripts …
we focus on the problem of script identification in scene text images and video scripts …
Devanagari handwritten character recognition using fine-tuned deep convolutional neural network on trivial dataset
In order to rapidly build an automatic and precise system for image recognition and
categorization, deep learning is a vital technology. Handwritten character classification also …
categorization, deep learning is a vital technology. Handwritten character classification also …
Offline recognition of Devanagari script: a survey
In India, more than 300 million people use Devanagari script for documentation. There has
been a significant improvement in the research related to the recognition of printed as well …
been a significant improvement in the research related to the recognition of printed as well …
A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application
Identification of local regions from where optimal discriminating features can be extracted is
one of the major tasks in the area of pattern recognition. To locate such regions different kind …
one of the major tasks in the area of pattern recognition. To locate such regions different kind …
Script identification in the wild via discriminative convolutional neural network
Script identification facilitates many important applications in document/video analysis. This
paper investigates a relatively new problem: identifying scripts in natural images. The basic …
paper investigates a relatively new problem: identifying scripts in natural images. The basic …
CNN-based multilingual handwritten numeral recognition: a fusion-free approach
Numeral recognition plays a vital role in making automated systems like postal address
sorting and license plate recognition. In a multilingual country like India, more often, the …
sorting and license plate recognition. In a multilingual country like India, more often, the …
The optical character recognition of Urdu-like cursive scripts
We survey the optical character recognition (OCR) literature with reference to the Urdu-like
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …
Devnet: an efficient cnn architecture for handwritten devanagari character recognition
R Guha, N Das, M Kundu, M Nasipuri… - International Journal of …, 2020 - World Scientific
The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
A statistical–topological feature combination for recognition of handwritten numerals
Principal Component Analysis (PCA) and Modular PCA (MPCA) are well known statistical
methods for recognition of facial images. But only PCA/MPCA is found to be insufficient to …
methods for recognition of facial images. But only PCA/MPCA is found to be insufficient to …