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A Polar Stroke Descriptor for classification of historical documents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 We apply the proposed representation to historical document dating and the experimental results show that the proposed method achieves state-of-the-art performance on the MPS database.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