Frame Deformation Energy Matching of On-line Handwritten Characters
(2005) 10th Iberoamerican Congress on Pattern Recognition, 2005 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/787847
- author
- Sternby, Jakob LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Progress in Pattern Recognition, Image Analysis and Applications (Lecture Notes in Computer Science)
- editor
- Sanfeliu, Alberto and Cortés, Manuel Lazo
- volume
- 3773
- pages
- 128 - 137
- publisher
- Springer
- conference name
- 10th Iberoamerican Congress on Pattern Recognition, 2005
- conference location
- Havanna, Cuba
- conference dates
- 2005-11-15 - 2005-11-18
- external identifiers
-
- wos:000234341500014
- scopus:33745407883
- ISSN
- 1611-3349
- 0302-9743
- 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
- 2016-04-01 11:58:12
- date last changed
- 2024-01-08 03:18:08
@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 = {{1611-3349}},
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}},
doi = {{10.1007/11578079}},
volume = {{3773}},
year = {{2005}},
}