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Journal Article Modified Chain-Code-Based Object Recognition
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Authors
Daeha Lee, Soon-Ja Kim
Issue Date
2015-11
Citation
Electronics Letters, v.51, no.24, pp.1996-1997
ISSN
0013-5194
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/el.2015.1019
Project Code
15PC2800, Development of HRI technologies for human-friendly robot service environments: complex knowledge-based cognition with situational relevance of 90% or, Kim Jae Hong
Abstract
Chain code, a data compression technique, has been widely used to encode the contour information of an object or gesture. Although this chain code is effective for data compression, it is impossible to avoid the duplication of borders. That is, even though they represent different objects, the encoding results can be made similar. The vector chain code (VCC), which contains the direction and distance information to solve the problems of the existing chain code is proposed. Also, the integrated VCC is composed of internal and external class-based VCCs to support the encoding of objects that have multiple feature points. Experiments demonstrate that the proposed VCC achieves an improved recognition rate in comparison to that achieved by the existing chain code.
KSP Keywords
Data Compression Technique, Internal and external, Object Recognition, Recognition rate, Vector chain code, contour information, distance information, feature points, multiple features