Results 41 to 50 of about 2,795 (153)
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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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
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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 +2 more
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Machine Learning Approach for Arabic Handwritten Recognition
Applied SciencesText recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa +2 more
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SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper
IEEE Access, 2019 Most existing studies and public datasets for handwritten Chinese text recognition are based on the regular documents with clean and blank background, lacking research reports for handwritten text recognition on challenging areas such as educational ...
Yuanzhi Zhu +5 more
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Multimodal Handwritten Exam Text Recognition Based on Deep Learning
Applied SciencesTo address the complex challenge of recognizing mixed handwritten text in practical scenarios such as examination papers and to overcome the limitations of existing methods that typically focus on a single category, this paper proposes MHTR, a Multimodal
Hua Shi +4 more
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Results in Engineering, 2023 Handwritten documents are, as always, highly challenging for recognition tasks compared to printed documents. Rather than using isolated characters as elementary components for recognition, practical documents use words or character strings.
Mamatarani Das, Mrutyunjaya Panda
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Lexicon and attention based handwritten text recognition system
Machine Graphics & Vision, 2022 The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives. It is a sub-domain of pattern recognition.
Lalita Kumari +3 more
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Handwritten text recognition using deep learning techniques: A survey [PDF]
MATEC Web of ConferencesHTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S. +3 more
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Attention-Based Fully Gated CNN-BGRU for Russian Handwritten Text
Journal of Imaging, 2020 This article considers the task of handwritten text recognition using attention-based encoder–decoder networks trained in the Kazakh and Russian languages.
Abdelrahman Abdallah +2 more
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