A survey of document image word spotting techniques
Vast collections of documents available in image format need to be indexed for information
retrieval purposes. In this framework, word spotting is an alternative solution to optical …
retrieval purposes. In this framework, word spotting is an alternative solution to optical …
A segmentation-free approach to Arabic and Urdu OCR
N Sabbour, F Shafait - Document recognition and retrieval XX, 2013 - spiedigitallibrary.org
In this paper, we present a generic Optical Character Recognition system for Arabic script
languages called Nabocr. Nabocr uses OCR approaches specific for Arabic script …
languages called Nabocr. Nabocr uses OCR approaches specific for Arabic script …
A review of deep learning techniques in document image word spotting
L Kumari, A Sharma - Archives of Computational Methods in Engineering, 2022 - Springer
From the early days of pattern recognition, word spotting have been important test beds for
studying how well machines can perform better decision making. In recent years, word …
studying how well machines can perform better decision making. In recent years, word …
Unsupervised word spotting in historical handwritten document images using document-oriented local features
Word spotting strategies employed in historical handwritten documents face many
challenges due to variation in the writing style and intense degradation. In this paper, a new …
challenges due to variation in the writing style and intense degradation. In this paper, a new …
Word spotting and character recognition of handwritten Hindi scripts by Integral Histogram of Oriented Displacement (IHOD) descriptor
This paper proposes efficient and robust segmentation-based word spotting and character
recognition systems for offline handwritten Hindi scripts using a newly proposed shape …
recognition systems for offline handwritten Hindi scripts using a newly proposed shape …
Segmentation-based historical handwritten word spotting using document-specific local features
Many word spotting strategies for the modern documents are not directly applicable to
historical handwritten documents due to writing styles variety and intense degradation. In …
historical handwritten documents due to writing styles variety and intense degradation. In …
Word spotting as a service: an unsupervised and segmentation-free framework for handwritten documents
Word spotting strategies employed in historical handwritten documents face many
challenges due to variation in the writing style and intense degradation. In this paper, a new …
challenges due to variation in the writing style and intense degradation. In this paper, a new …
A framework for efficient transcription of historical documents using keyword spotting
Keyword spotting (KWS) has drawn the attention of the research community as the
alternative means to solve hard cases of handwriting text recognition. In this paper, a …
alternative means to solve hard cases of handwriting text recognition. In this paper, a …
Content level access to Digital Library of India pages
In this paper, we propose a framework for content level access to the scanned pages of
Digital Library of India (DLI). The current Optical Character Recognition (OCR) systems are …
Digital Library of India (DLI). The current Optical Character Recognition (OCR) systems are …
Multi-sensor event detection using shape histograms
Vehicular sensor data consists of multiple time-series arising from a number of sensors.
Using such multi-sensor data we would like to detect occurrences of specific events that …
Using such multi-sensor data we would like to detect occurrences of specific events that …