Results 11 to 20 of about 54,146 (282)
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
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 +3 more
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Handwritten Character Recognition
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 ...
Revanth S, Roopa H M
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HANDWRITTEN CHARACTER RECOGNITION
Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to writing notes manually. Handwritten character recognition is considered as a core to a diversity of emerging application by using the concepts of machine learning.
openaire +2 more sources
According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning mediums for those languages ...
Kanchon Kanti Podder +10 more
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Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features
Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir +8 more
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On developing handwritten character image database for Malayalam language script
The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
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ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
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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Handwritten Tamil character recognition
This paper focuses on recognizing Tamil characters that are handwritten and displaying their digital variant. Tamil is a regional language and one of the classical languages of India. Tamil literature has a significance of over four thousands years and many of those literatures are yet to be digitized. The main objective of this paper is to convert old
M L Harini +3 more
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End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
doaj +1 more source
Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition [PDF]
In handwritten character recognition, benchmark database plays an important role in evaluating the performance of various algorithms and the results obtained by various researchers. In Devnagari script, there is lack of such official benchmark.
Dongre, Vikas J., Mankar, Vijay H.
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