Ranking Fusion Methods Applied to On-Line Handwriting Information Retrieval

Saldarriaga, Sebastián Peña; Morin, Emmanuel; Viard-Gaudin, Christian

doi:10.1007/978-3-642-12275-0_24

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…In the group of data fusion applications, there is a ranking of data fusion methods applied to online handwriting information retrieval ( Saldarriaga, Morin & Viard-Gaudin, 2010 ). This ranking is based on the fact that information retrieval can be improved by applying data fusion techniques in handwriting documents.…”

Section: Related Workmentioning

confidence: 99%

Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB

Saloum

García‐Magariño

2021

PeerJ Computer Science

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Hand-written text recognition is useful for interpreting records in different fields such as healthcare, surgery and police in which professionals may avoid technical equipment and prefer writing notes on paper. In order to perform data fusion from different data sources, handwriting automatic recognition involves barriers such as different ways of writing letters and deformation due to many reasons. This work presents a novel handwriting recognition approach based on the application of coordinate vectors to find similarities in different kinds of deformations. In particular, it has been implemented using 16 segments in order to distinguish all the particularities in matching the new text considering a dataset with a machine-learning approach. The implementation of this approach with MATLAB shows promising results with accuracy of 92.8% for with ensemble and bagged trees, after analyzing 22 possible combinations of machine learning and processing techniques.

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Section: Related Workmentioning

confidence: 99%

Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB

Saloum

García‐Magariño

2021

PeerJ Computer Science

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“…However, it has been recently proposed to use a handwritten subset of the Reuters-21578 corpus for text categorization in experiments on ad-hoc IR. 11 Since this corpus does not have a standard set of queries, the authors proposed to generate queries via relevance feedback methods, which is an obvious shortcoming. In this paper, we propose using category names as queries (see Table 1).…”

Section: Datamentioning

confidence: 99%

Retrieving handwriting by combining word spotting and manifold ranking

2012

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International audienceOnline handwritten data, produced with Tablet PCs or digital pens, consists in a sequence of points (x, y). As the amount of data available in this form increases, algorithms for retrieval of online data are needed. Word spotting is a common approach used for the retrieval of handwriting. However, from an information retrieval (IR) perspective, word spotting is a primitive keyword based matching and retrieval strategy. We propose a framework for handwriting retrieval where an arbitrary word spotting method is used, and then a manifold ranking algorithm is applied on the initial retrieval scores. Experimental results on a database of more than 2,000 handwritten newswires show that our method can improve the performances of a state-of-the-art word spotting system by more than 10%

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Recent Developments in Information Retrieval

Gurrin

Kazai

et al. 2010

Lecture Notes in Computer Science

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Ranking Fusion Methods Applied to On-Line Handwriting Information Retrieval

Cited by 5 publications

References 24 publications

Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB

Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB

Retrieving handwriting by combining word spotting and manifold ranking

Recent Developments in Information Retrieval

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