Results 11 to 20 of about 2,546 (227)
Information Retrieval Model for Online Handwritten Script Identification [PDF]
2009 10th International Conference on Document Analysis and Recognition, 2009 Script identification has always been a topic of much research interest in the field of document analysis. The accurate determination of the identity of the script is paramount to many post-processing steps such as document sorting, translation and in determining the choice of linguistic resources to use for OCR or handwriting recognition. However, few
Guo Xian Tan +2 more
openaire +3 more sources
A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
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
doaj +2 more sources
Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images
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
doaj +2 more sources
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 The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms.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
MODI-HHDoc: Historical MODI Script Handwritten Document Dataset
, 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 +2 more sources
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
Urdu handwritten text recognition: a survey
IET Image Processing, 2020 Work on the problem of handwritten text recognition in Urdu script has been an active research area. A significant progress is made in this interesting and challenging field in the last few years.
Mujtaba Husnain +5 more
doaj +1 more source