Artificial neural networks for document analysis and recognition

S Marinai, M Gori, G Soda - IEEE Transactions on pattern …, 2005 - ieeexplore.ieee.org
Artificial neural networks have been extensively applied to document analysis and
recognition. Most efforts have been devoted to the recognition of isolated handwritten and …

Text information extraction in images and video: a survey

K Jung, KI Kim, AK Jain - Pattern recognition, 2004 - Elsevier
Text data present in images and video contain useful information for automatic annotation,
indexing, and structuring of images. Extraction of this information involves detection …
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D Ghai, S Saxena, G Dhingra, SL Tripathi - Multimedia Tools and …, 2025 - Springer
In today's quick world of images and videos, text extraction became the responsibility of
machine/deep learning techniques. The various techniques utilized for text extraction …

[PDF][PDF] Implementation of text recognition and text extraction on formatted bills using deep learning

M Geetha, RC Pooja, J Swetha, N Nivedha… - Int J Contrl …, 2020 - researchgate.net
Text Recognition from natural images, still a exigent task in today world. This research gives
a detailed view on Text recognition to extract the data from bills which are either handwritten …

Optimal combination of document binarization techniques using a self-organizing map neural network

E Badekas, N Papamarkos - Engineering Applications of Artificial …, 2007 - Elsevier
This paper proposes an integrated system for the binarization of normal and degraded
printed documents for the purpose of visualization and recognition of text characters. In …

Clutter noise removal in binary document images

M Agrawal, D Doermann - … Journal on Document Analysis and Recognition …, 2013 - Springer
The paper presents a clutter detection and removal algorithm for complex document images.
This distance transform based technique aims to remove irregular and independent …