NDLI: Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents

Content Provider	IEEE Xplore Digital Library
Author	Rothacker, L. Rusinol, M. Fink, G.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. Edifici O, Univ. Aut`onoma de Barcelona, Bellaterra, Spain (Rusinol, M.) \|\| Dept. of Comput. Sci., Tech. Univ. Dortmund, Dortmund, Germany (Rothacker, L.; Fink, G.A.)
Abstract	Recent HMM-based approaches to handwritten word spotting require large amounts of learning samples and mostly rely on a prior segmentation of the document. We propose to use Bag-of-Features HMMs in a patch-based segmentation-free framework that are estimated by a single sample. Bag-of-Features HMMs use statistics of local image feature representatives. Therefore they can be considered as a variant of discrete HMMs allowing to model the observation of a number of features at a point in time. The discrete nature enables us to estimate a query model with only a single example of the query provided by the user. This makes our method very flexible with respect to the availability of training data. Furthermore, we are able to outperform state-of-the-art results on the George Washington dataset.
Starting Page	1305
Ending Page	1309
File Size	2315618
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Vectors Visualization Training Handwriting recognition Image segmentation Feature extraction Bag-of-Features Handwritten Word Spotting Segmentation-free Word Spotting Hidden Markov Models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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