Word Spotting and Recognition with Embedded Attributes

This paper addresses the problems of word spotting and word recognition on images. In word spotting, the goal is to find all instances of a query word in a dataset of images. In recognition, the goal is to recognize the content of the word image, usually aided by a dictionary or lexicon. We describe...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 36; H. 12; S. 2552 - 2566
Hauptverfasser:	Almazan, Jon, Gordo, Albert, Fornes, Alicia, Valveny, Ernest
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Character recognition Databases, Factual Handwriting Handwriting recognition Hidden Markov models Histograms Humans Image Processing, Computer-Assisted - methods Image recognition Intelligence Machine Learning Nearest neighbor searches Object recognition Pattern analysis Pattern Recognition, Automated - methods Regression Strings Subspaces Tasks Text recognition scene text attribute-based representation handwritten text Word image representation word recognition word spotting
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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