DocumentCode :
183368
Title :
On the Influence of Key Point Encoding for Handwritten Word Spotting
Author :
Fernandez-Mota, David ; Riba, Pau ; Fornes, Alicia ; Llados, Josep
Author_Institution :
Dept. de Cienc. de la Computacio, Univ. Autonoma de Barcelona, Barcelona, Spain
fYear :
2014
fDate :
1-4 Sept. 2014
Firstpage :
476
Lastpage :
481
Abstract :
In this paper we evaluate the influence of the selection of key points and the associated features in the performance of word spotting processes. In general, features can be extracted from a number of characteristic points like corners, contours, skeletons, maxima, minima, crossings, etc. A number of descriptors exist in the literature using different interest point detectors. But the intrinsic variability of handwriting vary strongly on the performance if the interest points are not stable enough. In this paper, we analyze the performance of different descriptors for local interest points. As benchmarking dataset we have used the Barcelona Marriage Database that contains handwritten records of marriages over five centuries.
Keywords :
feature extraction; handwritten character recognition; word processing; Barcelona marriage database; benchmarking dataset; feature extraction; handwritten records; handwritten word spotting processes; intrinsic variability; key point encoding; point detectors; Context; Feature extraction; Hidden Markov models; Histograms; Shape; Skeleton; Vectors; Handwritten documents; Historical document analysis; Interest points; Local descriptors; Word spotting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
ISSN :
2167-6445
Print_ISBN :
978-1-4799-4335-7
Type :
conf
DOI :
10.1109/ICFHR.2014.86
Filename :
6981065
Link To Document :
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