Results 11 to 20 of about 2,560 (230)
A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition [PDF]
Journal of Imaging, 2018 Script identification is an essential step in document image processing especially when the environment is multi-script/multilingual. Till date researchers have developed several methods for the said problem.
Anirban Mukhopadhyay +3 more
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Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images [PDF]
Journal of Intelligent Systems, 2018 The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy.
Singh Pawan Kumar +3 more
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Recognition of handwritten Latin characters with diacritics using CNN [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Convolutional Neural Networks (CNN) have achieved huge popularity in solving problems in image analysis and in text recognition. In this work, we assess the effectiveness of CNN-based architectures where a network is trained in recognizing handwritten ...
Edyta Lukasik +6 more
doaj +1 more source
MODI-HHDoc: Historical MODI Script Handwritten Document Dataset [PDF]
, 2023 Around from 12th century MODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc. It was used as administrative script from 17th century to mid of 19th century in Maharashtra state (India).
Deshmukh, M
core +3 more sources
A multi-purpose dataset of Devanagari script comprising of isolated numerals and vowels
Data in Brief, 2022 This article presents handwritten isolated characters of the Devanagari script. Devanagari script contains ten numerals, 13 vowels, and 33 consonants. Devanagari Character dataset includes 23 different characters of numerals and vowels.
Duddela Sai Prashanth +2 more
doaj +1 more source
uTHCD: A New Benchmarking for Tamil Handwritten OCR
IEEE Access, 2021 The robustness of a typical Handwritten character recognition system relies on the availability of comprehensive supervised data samples. There has been considerable work reported in the literature about creating the database for several Indic scripts ...
Noushath Shaffi, Faizal Hajamohideen
doaj +1 more source
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 +2 more
doaj +1 more source
End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning
IEEE Access, 2023 Recognizing handwritten text is a challenging task, especially for scripts with numerous alphabets and symbols. The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms. However,
Ruchika Malhotra, Maru Tesfaye Addis
doaj +1 more source
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren +11 more
core +1 more source
A Survey on Arabic Handwritten Script Recognition Systems
International Journal of Artificial Intelligence and Machine Learning, 2021 The optical character recognition (OCR) system is still an active research field in pattern recognition. Such systems can identify, recognize and distinguish electronically between characters and texts, printed or handwritten. They can also do a transformation of such data type into machine-processable form to facilitate the interaction between user ...
Soumia Djaghbellou +3 more
openaire +2 more sources