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Handwritten Text Recognition and Digital Text Conversion [PDF]

International Journal of Trend in Scientific Research and Development, 2019
Sometimes it is extremely difficult to secure handwritten documents in the real world. While doing so, we may encounter many problems such as misplacing the documents, unavailability of access from anywhere, physical damage, etc. So, to keep the information secure, we convert that information into digital format to address all the above mentioned ...
Mr. B. Ravinder Reddy, J. Nandini, P. Sowmya | Y. Sathwik   +2 more
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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

Exploration of advancements in handwritten document recognition techniques

Intelligent Systems with Applications
Handwritten document recognition and classification are among the many computers related issues being studied for digitizing handwritten data. A handwritten document comprises text, diagrams, mathematical expressions, numerals, and tables.
Vanita Agrawal, Jayant Jagtap, M.V.V. Prasad Kantipudi   +2 more
doaj   +1 more source

Kurdish Handwritten Text Recognition

ARO-The Scientific Journal of Koya University
Based on the available peer-reviewed literature, Kurdish handwritten recognition remains at a nascent stage, with existing models limited to isolated character, digit, and word recognition.
Karez A. Hamad, Shareef M. Shareef
doaj   +1 more source

Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
doaj   +1 more source

A system for the off-line recognition of handwritten text [PDF]

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002
A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to ASCII transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten input from the forms.
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Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features

Machine Learning with Applications, 2021
The recognition of online handwriting is a vital application of pattern recognition, which involves the extraction of spatial and temporal information of handwritten patterns, and understanding the handwritten text while writing on the digital surface ...
Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan   +2 more
doaj   +1 more source

ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM

Diyala Journal of Engineering Sciences, 2012
On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
doaj   +1 more source

Automatic Receipt Recognition System Based on Artificial Intelligence Technology

Applied Sciences, 2022
In this study, an automatic receipt recognition system (ARRS) is developed. First, a receipt is scanned for conversion into a high-resolution image. Receipt characters are automatically placed into two categories according to the receipt characteristics:
Cheng-Jian Lin, Yu-Cheng Liu, Chin-Ling Lee   +2 more
doaj   +1 more source

A Research on Handwritten Text Recognition

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
Over the years we have started accumulating handwritten documents, like pdfs, doc files and numerous other formats for reading, writing and studying. Often we come across situations where we need to utilize the text of those documents. Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors ...
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