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Landmark-Based Shape Context for Handwritten Digit Recognition

Landmark-Based Shape Context for Handwritten Digit Recognition

Shyamanta M. Hazarika
Copyright: © 2009 |Pages: 11
ISBN13: 9781605666167|ISBN10: 1605666165|ISBN13 Softcover: 9781616925390|EISBN13: 9781605666174
DOI: 10.4018/978-1-60566-616-7.ch003
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MLA

Hazarika, Shyamanta M. "Landmark-Based Shape Context for Handwritten Digit Recognition." Utilizing Information Technology Systems Across Disciplines: Advancements in the Application of Computer Science, edited by Evon M. O. Abu-Taieh, et al., IGI Global, 2009, pp. 45-55. https://doi.org/10.4018/978-1-60566-616-7.ch003

APA

Hazarika, S. M. (2009). Landmark-Based Shape Context for Handwritten Digit Recognition. In E. Abu-Taieh, A. El-Sheikh, & J. Abu-Tayeh (Eds.), Utilizing Information Technology Systems Across Disciplines: Advancements in the Application of Computer Science (pp. 45-55). IGI Global. https://doi.org/10.4018/978-1-60566-616-7.ch003

Chicago

Hazarika, Shyamanta M. "Landmark-Based Shape Context for Handwritten Digit Recognition." In Utilizing Information Technology Systems Across Disciplines: Advancements in the Application of Computer Science, edited by Evon M. O. Abu-Taieh, Asim A. El-Sheikh, and Jeihan Abu-Tayeh, 45-55. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-616-7.ch003

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Abstract

This chapter introduces landmark-based shape context. Standard shape context computation samples at regular interval on the contour of an object. Corner points of an object being landmarks on the contour; set of corner points is a good descriptor of shape. Landmark-based shape context is computed by sampling a reduced set of points based on such landmarks. In this chapter, an approach to recognizing handwritten digits based on shape similarity computed through landmark-based shape context is presented. Shape context based object recognition being an iterative process; the reduction in the number of sample points provides a basis for faster recognition.

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