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Frame Deformation Energy Matching of On-line Handwritten Characters

Sternby, Jakob LU (2005) 10th Iberoamerican Congress on Pattern Recognition In Progress in Pattern Recognition, Image Analysis and Applications (Lecture Notes in Computer Science) 3773. p.128-137
Abstract
The coarse to fine search methodology is frequently applied to a wide variety of problems in computer vision. In this paper it is shown that this strategy can be used to enhance the recognition of on-line handwritten characters. Some explicit knowledge about the structure of a handwritten character can be obtained through a structural parameterization. The Frame Deformation Energy matching (FDE) method is a method optimized to include such knowledge in the discrimination process. This paper presents a novel parameterization strategy, the Djikstra Curve Maximization (DCM) method, for the segments of the structural frame. Since this method distributes points unevenly on each segment, point-to-point matching strategies are not suitable. A new... (More)
The coarse to fine search methodology is frequently applied to a wide variety of problems in computer vision. In this paper it is shown that this strategy can be used to enhance the recognition of on-line handwritten characters. Some explicit knowledge about the structure of a handwritten character can be obtained through a structural parameterization. The Frame Deformation Energy matching (FDE) method is a method optimized to include such knowledge in the discrimination process. This paper presents a novel parameterization strategy, the Djikstra Curve Maximization (DCM) method, for the segments of the structural frame. Since this method distributes points unevenly on each segment, point-to-point matching strategies are not suitable. A new distance measure for these segment-to-segment comparisons have been developed. Experiments have been conducted with various settings for the new FDE on a large data set both with a single model matching scheme and with a kNN type template matching scheme. The results reveal that the FDE even in an ad hoc implementation is a robust matching method with recognition results well comparing to the existing state-of-the-art methods. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Progress in Pattern Recognition, Image Analysis and Applications (Lecture Notes in Computer Science)
editor
Sanfeliu, Alberto; Cortés, Manuel Lazo; and
volume
3773
pages
128 - 137
publisher
Springer
conference name
10th Iberoamerican Congress on Pattern Recognition
external identifiers
  • wos:000234341500014
  • scopus:33745407883
ISSN
0302-9743
1611-3349
ISBN
978-3-540-29850-2
DOI
10.1007/11578079
language
English
LU publication?
yes
id
8f6ecfce-65a5-4286-b640-4d6fbf5e660b (old id 787847)
date added to LUP
2008-01-15 08:28:11
date last changed
2017-06-04 03:35:55
@inproceedings{8f6ecfce-65a5-4286-b640-4d6fbf5e660b,
  abstract     = {The coarse to fine search methodology is frequently applied to a wide variety of problems in computer vision. In this paper it is shown that this strategy can be used to enhance the recognition of on-line handwritten characters. Some explicit knowledge about the structure of a handwritten character can be obtained through a structural parameterization. The Frame Deformation Energy matching (FDE) method is a method optimized to include such knowledge in the discrimination process. This paper presents a novel parameterization strategy, the Djikstra Curve Maximization (DCM) method, for the segments of the structural frame. Since this method distributes points unevenly on each segment, point-to-point matching strategies are not suitable. A new distance measure for these segment-to-segment comparisons have been developed. Experiments have been conducted with various settings for the new FDE on a large data set both with a single model matching scheme and with a kNN type template matching scheme. The results reveal that the FDE even in an ad hoc implementation is a robust matching method with recognition results well comparing to the existing state-of-the-art methods.},
  author       = {Sternby, Jakob},
  booktitle    = {Progress in Pattern Recognition, Image Analysis and Applications (Lecture Notes in Computer Science)},
  editor       = {Sanfeliu, Alberto and Cortés, Manuel Lazo},
  isbn         = {978-3-540-29850-2},
  issn         = {0302-9743},
  language     = {eng},
  pages        = {128--137},
  publisher    = {Springer},
  title        = {Frame Deformation Energy Matching of On-line Handwritten Characters},
  url          = {http://dx.doi.org/10.1007/11578079},
  volume       = {3773},
  year         = {2005},
}