On-Line Digit Recognition using Off-Line Features

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{oai:CiteSeerPSU:553870,

• title = "On-Line Digit Recognition using Off-Line Features",
• author = "A. Teredesai and E. Ratzlaff and J. Subrahmonia and V. Govindaraju",
• year = "2002",
• booktitle = "Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'02)",
• address = "SAC, Ahmedabad, India",
• keywords = "genetic algorithms, genetic programming",
• citeseer-isreferencedby = "oai:CiteSeerPSU:92773; oai:CiteSeerPSU:281360; oai:CiteSeerPSU:428408",
• citeseer-references = "oai:CiteSeerPSU:125873",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:553870",
• rights = "unrestricted",
• URL = "http://www.ee.iitb.ac.in/~icvgip/PAPERS/321.pdf",
• URL = "http://citeseer.ist.psu.edu/553870.html",
• size = "6 pages",
• abstract = "This paper describes a classification method for on-line handwritten digits based on off-line image representations. The goal is to use image-based features to improve classifier accuracy for on-line handwritten input. In this paper we describe an initial framework that can be used to achieve this goal. This framework for handwritten digit classification is based on genetic programming (GP). Several issues in preprocessing, transformation of data from on-line to off-line domains and feature extraction are described. Results are reported on the UNIPEN digit dataset.",
• notes = "http://www.ee.iitb.ac.in/~icvgip/schedule.htm",

}

Genetic Programming entries for Ankur M Teredesai E Ratzlaff J Subrahmonia Venugopal Govindaraju

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