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Handwritten Hindi character recognition: a review [PDF]

IET Image Processing, 2018
As the years passed by, computers became more powerful and automation became the need of generation. Humans tried to automate their work and replace themselves with machines. This effort of transition from manual to automatic gave rise to various research fields, and document character recognition is one such field.
Mamta Mittal
exaly   +2 more sources

CompoundDenseNet: a novel approach for accurate recognition of Bangla handwritten compound characters [PDF]

Frontiers in Artificial Intelligence
Bangla, one of the most widely spoken languages in the world, presents major challenges in handwritten character recognition because of its complex compound characters with intricate shapes, diverse writing styles, and structural similarities.
Nazia Alfaz, Talha Bin Sarwar, Fahmid Al Farid, Fahmid Al Farid, Md Saef Ullah Miah, Sadia Afrin, Shakila Rahman, Jia Uddin, Hezerul bin Abdul Karim   +8 more
doaj   +2 more sources

Deep inception neural network with residual connections for Tamil handwritten character recognition [PDF]

Scientific Reports
The research community is actively working on character recognition for various languages, including Tamil, Arabic, Chinese, Telugu, and Malayalam. It is important to digitize texts so that large-scale documents can be saved, retrieved, and analysed ...
Hariharan Periyasamy, Sasikaladevi Natarajan, Rengarajan Amirtharajan   +2 more
doaj   +2 more sources

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

IEEE Access, 2020
Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or images
Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin   +3 more
doaj   +3 more sources

Handwritten Character Recognition

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Handwritten character recognition is a fascinating topic in the field of artificial intelligence. It involves developing algorithms and models that can analyze and interpret handwritten characters, such as letters, numbers, or symbols. The goal is to accurately convert handwritten text into digital form, making it easier to process and ...
Ghanshyam Wadaskar, Vipin Bopanwar, Prayojita Urade, Shravani Upganlawar, Prof. Rakhi Shende   +4 more
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Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]

Jisuanji gongcheng, 2022
Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
doaj   +1 more source

HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Despite the enormous effort and prior research, Arabic handwritten character recognition still has a deep, wide-ranging, and untapped scope for study owing to the enormous challenges faced in this research area. The reason for such challenges is that the
M. N. Elagamy, M. M. Khalil, E. Ismail
doaj   +1 more source

Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis

Mehran University Research Journal of Engineering and Technology, 2021
This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing an OCR system for handwritten character recognition is a challenging task because of the handwritten characters ...
Sardar Jehangir, Sohail Khan, Sulaiman Khan, Shah Nazir, Anwar Hussain   +4 more
doaj   +1 more source

BANGLA HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTION NEURAL NETWORK

ICTACT Journal on Soft Computing, 2022
Since, last one-decade, numerous deep learning models have been designed to resolve handwritten character recognition task in languages, namely, English, Chinese, Arabic, Japanese and Russian.
Shankha De, Arpana Rawal
doaj   +1 more source

Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition.
Manoj Kumar Mahto, Karamjit Bhatia, Rajendra Kumar Sharma   +2 more
doaj   +1 more source