Paper Info
Title
Hermite filter-based texture analysis with application to handwriting document indexing
Abstract
We present a texture analysis approach for texture image indexing based on Gabor-like Hermite filters, which are steered versions of discrete Hermite filters. Hermite filters are the backbone of the Hermite transform, which is a polynomial transform and a good model of the human visual system. Experimental results show that our filters have better performance than Gabor filters. The texture analysis system is then applied to handwriting document indexing. For that doing, handwriting documents are decomposed into local frequencies through the presented filter bank and, using this decomposition, we analyze the visual aspect of handwritings to compute similarity measures. A direct application is the management of document databases, allowing to find documents coming from the same author or to classify documents containing handwritings that have similar visual aspect. The current results are very promising and show that it is possible to characterize handwritten drawings without any a priori graphemes segmentation.
Year
DOI
Venue
2005
10.1007/11559573_90
ICIAR
Keywords
Field
DocType
discrete hermite filter,hermite filter,handwriting document indexing,texture image indexing,document databases,gabor-like hermite filter,texture analysis system,hermite filter-based texture analysis,similar visual aspect,human visual system,texture analysis approach,visual aspect,filter bank,indexation
Computer vision,Pattern recognition,Handwriting,Image texture,Computer science,Human visual system model,Filter bank,Search engine indexing,Hermite polynomials,Gabor filter,Artificial intelligence,Hermite interpolation
Conference
Volume
ISSN
ISBN
3656
0302-9743
3-540-29069-9
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Carlos Joel Rivero-Moreno121.40
Stéphane Bres212714.42
Véronique Eglin313119.67