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Deep Learning Network Architecture based Kannada Handwritten Character Recognition

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020
In this work, a novel model for recognition of handwritten Kannada characters using transfer learning from Devanagari handwritten recognition system is presented. The objective is to use the knowledge of large data corpus of Devanagari recognition system
N. Rani, Subramani A C, A. P, P. B. R.
semanticscholar   +1 more source

Handwritten Character Recognition to Obtain Editable Text

International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-], 2020
Developing an android application for character recognition to read the text from an image is a big area of research. Nowadays, there is a trend of storing information from the handwritten documents for future use.
Vaibhav V. Mainkar   +3 more
semanticscholar   +1 more source

A Review on Handwritten Character Recognition Methods and Techniques

International Conference on Cryptography, Security and Privacy, 2020
In this paper a detailed review of Handwritten Character Recognition is presented. Some features of human beings are unique to individuals like iris, fingerprint, DNA etc. Handwriting is one such feature which is different for each human being and it has
B. M. Vinjit   +3 more
semanticscholar   +1 more source

Recognition of Character from Handwritten

2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020
This idea deals with the identification of English letters. The input is given to process the character further, it is trained with the computer system modeled on nervous system to identify the design of characters. Pattern identification is one of the effective method used in neural networks.
N. Murugan   +3 more
openaire   +1 more source

Neural based handwritten character recognition

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
The paper explores the existing ring based method (W.I. Reber, 1987), the new sector based method and the combination of these, termed the Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric rings in the case of the ...
M. Hanmandlu   +2 more
openaire   +1 more source

Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding

Pattern Recognition, 2020
Handwritten Chinese Character Recognition (HCCR) is a challenging topic in the field of pattern recognition due to large-scale character vocabulary, complex hierarchical structure, various writing styles, and scarce training samples.
Zhong Cao   +3 more
semanticscholar   +1 more source

Online Continues Vietnamese Handwritten Character Recognition Based on Microsoft Handwritten Character Recognition Library

APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, 2006
In recent years, there are many types of equipment using pen-based operations such as Tablet PC, intelligent mobiles and pocket devices such as PDA, Pocket PC etc... In order to input data into computers, pen-based operations are more advantage and friendly than other methods. Therefore, online handwritten character system is the preferred input method
Ngo Quoc Tao, Pham Van Hung
openaire   +1 more source

ANN-based handwritten character recognition

SICE '99. Proceedings of the 38th SICE Annual Conference. International Session Papers (IEEE Cat. No.99TH8456), 2003
Based on an artificial neural network, digital image processing, and features extraction theory, the authors analyzed a BP network's defect then presented improving solutions. In this paper, a new kind of handwritten character system has been constructed.
null Huang Hanmin   +4 more
openaire   +1 more source

Offline handwritten Gurmukhi character recognition

Proceeding of the workshop on Document Analysis and Recognition, 2012
Offline handwritten character recognition (OHCR) is the method of converting handwritten text into machine processable layout. Since late sixties, efforts have been made for offline handwritten character recognition throughout the world. Principal Component Analysis (PCA) has also been used for extracting representative features for character ...
Munish Kumar, R. K. Sharma, M. K. Jindal
openaire   +1 more source

Offline Kannada Handwritten Character Recognition Using Convolutional Neural Networks

IEEE International WIE Conference on Electrical and Computer Engineering, 2019
Handwritten characters are still far from being replaced with the digital form. The occurrence of handwritten text is abundant. With a wide scope, the problem of handwritten letter recognition using computer vision and machine learning techniques has ...
G. Ramesh   +3 more
semanticscholar   +1 more source

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