Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives

R Sharma, B Kaushik - Computer Science Review, 2020 - Elsevier
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 …

Two decades of bengali handwritten digit recognition: A survey

ABMA Rahman, MB Hasan, S Ahmed, T Ahmed… - IEEE …, 2022 - ieeexplore.ieee.org
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

Tulu Language Text Recognition and Translation

AP Rodrigues, P Vijaya, R Fernandes - IEEE Access, 2024 - ieeexplore.ieee.org
Language is a primary means of communication, but it is not the only means; knowing a
language does, however, assist speed up the process. Many distinct languages are spoken …

H‐WordNet: a holistic convolutional neural network approach for handwritten word recognition

D Das, DR Nayak, R Dash, B Majhi… - IET Image …, 2020 - Wiley Online Library
Segmentation of handwritten words into isolated characters and their recognition are
challenging due to the presence of high variability and cursiveness in Indian scripts. The …

[PDF][PDF] Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition.

N Sharma, MA Haq, PK Dahiya… - … , Materials & Continua, 2023 - researchgate.net
Every developing country relies on transportation, and there has been an exponential
expansion in the development of various sorts of vehicles with various configurations, which …

Persian Optical Character Recognition Using Deep Bidirectional Long Short-Term Memory

Z Khosrobeigi, H Veisi, E Hoseinzade, H Shabanian - Applied Sciences, 2022 - mdpi.com
Optical Character Recognition (OCR) is a system of converting images, including text, into
editable text and is applied to various languages such as English, Arabic, and Persian …

Handwritten signature verification using haar cascade classifier approach

A AbdelRaouf, D Salama - 2018 13Th international conference …, 2018 - ieeexplore.ieee.org
Handwritten Signature verification is an important personal identification. It is widely used in
authorizing a cheque or legal documents. Signature verification is either online (dynamic) or …

Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks

R Dey, RC Balabantaray, S Samanta - The Imaging Science …, 2022 - Taylor & Francis
Despite promising results in character recognition techniques, research on handwritten
characters from Indian regional scripts is still limited. In fact, most character recognizers in …

DigiNet: Prediction of Assamese handwritten digits using convolutional neural network

P Dutta, NB Muppalaneni - Concurrency and computation …, 2021 - Wiley Online Library
Numerous work focusing on Indian Languages for automatically recognizing characters has
been witnessed in literature in the last few decades. But it was observed that only a handful …

Prediction of Handwritten Classification using CNN Techniques

K Sanu, R Bhandari - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Today's computer vision industry makes extensive use of image recognition. A popular
method of image recognition is digit recognition. The recognition of handwritten numbers is …