DocumentCode :
3695049
Title :
A Polar Stroke Descriptor for classification of historical documents
Author :
Sheng He;Lambert Schomaker
Author_Institution :
Institute of Artificial Intelligence and Cognitive Engineering (ALICE), University of Groningen, Nijenborgh 9, the Netherlands
fYear :
2015
Firstpage :
6
Lastpage :
10
Abstract :
This paper presents a method for extracting a local scale- and rotation-invariant descriptor called Polar Stroke Descriptor (PSD) from the strokes in handwritten documents. Our descriptor captures the stroke-length distribution on a reference point and results in a robust feature vector. Furthermore, we develop a compact stroke representation termed as strokelets inspired by the classical Bag of Words model. We apply the proposed representation to historical document dating and the experimental results show that the proposed method achieves state-of-the-art performance on the MPS database.
Keywords :
"Cognition","Databases","Fasteners","Handwriting recognition"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333715
Filename :
7333715
Link To Document :
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