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Handwritten Tamil Character Recognition UsingDeep Learning

2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019
Character recognition is developed for various patterns of handwritten or optical characters to be recognized digitally. There are many Tamil literatures in undigitized form.
M. A. Pragathi   +4 more
semanticscholar   +1 more source

OBC306: A Large-Scale Oracle Bone Character Recognition Dataset

IEEE International Conference on Document Analysis and Recognition, 2019
The oracle bone script from ancient China is among the world's most famous ancient writing systems. Identifying and deciphering oracle bone scripts is one of the most important topics in oracle bone study and requires a deep familiarity with the culture ...
Shuangping Huang   +4 more
semanticscholar   +1 more source

Optical Character Recognition Implementation using Pattern Matching

International Journal for Research in Applied Science and Engineering Technology, 2019
: This paper represent an algorithm for implementation of Optical Character Recognition (OCR) to translate images of typewritten or handwritten characters into electronically editable format by preserving font properties.
A. Patil
semanticscholar   +1 more source

A Character-Recognition Study

IBM Journal of Research and Development, 1960
A study of the single-gap-scan approach to character recognition, using an IBM 650 for simulation, is reported. Ten specially designed digits were used in this study. Character recognition is discussed in terms of some simple concepts from n-dimensional geometry.
openaire   +1 more source

Handwritten Character Recognition

2020
This chapter discusses isolating and recognizing individual characters. It moves closer to capturing the true problems that need to be overcome in designing high-performance character recognizers for handwritten word recognition applications. In broad terms, character recognition refers to a computer reading some part of some type of document.
Paul Gader, Andrew Gillies, Daniel Hepp
openaire   +1 more source

Character recognition symposium

ITNOW, 1967
Abstract Coincident with the publication of the Society’s Handbook on Character Recognition, there was a symposium on the subject at the Connaught Rooms on 7 December. Attendance was over 370. The papers ranged from the technical aspects of character recognition to the experiences of those who are currently using these techniques in a ...
openaire   +1 more source

Handprinted Character Recognition

1973
Abstract : This report discusses a research effort whose object is the design of a handprint alpha-numeric reader capable of human recognition rates. The effort included: Collection of a large data base of unconstrained handprinted alpha-numeric characters; Editing the data to re- label mislabeled characters, remove noise, and delete totally illegible ...
David B. Connell   +3 more
openaire   +1 more source

DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition

Multimedia tools and applications, 2021
S. Narang, Munish Kumar, M. Jindal
semanticscholar   +1 more source

Building efficient CNN architecture for offline handwritten Chinese character recognition

International Journal on Document Analysis and Recognition, 2018
Deep convolutional neural networks-based methods have brought great breakthrough in image classification, which provides an end-to-end solution for handwritten Chinese character recognition (HCCR) problem through learning discriminative features ...
Zhiyuan Li   +3 more
semanticscholar   +1 more source

OPTICAL CHARACTER RECOGNITION

Management Decision, 1971
The idea of optical character recognition (OCR), in other words the “reading” of documents by other than human means, arose as a practical proposition during the Second World War. Wartime experience of using computers in the United States had revealed the contrasts in speeds between the transcription of documents to be processed (at that time the ...
openaire   +1 more source

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