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Eigenvectors adopted for geometrical shapes recognition

Ghada thanoon talee · University of Mosul, College of Education for Pure Science · 2012

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Abstract<br /> Geometrical shapes are so important in pattern and image recognition So many research use proposed in this direction .<br /> In this paper study basic geometrical shapes [circle, triangle, rectangle,…,etc] are studied and small database was build for them based on their eigenvalue. Eigenvalues and eigenvectors studied in this paper as shape descriptor parameters, which found it can be strongly used due to the high difference shapes.<br /> backprogation neural network was achieved to a speed path recognition process.

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APA 7

talee, G. T. (2012). Eigenvectors adopted for geometrical shapes recognition. https://doi.org/10.33899/edusj.2012.59159

MLA

talee, Ghada thanoon. "Eigenvectors adopted for geometrical shapes recognition." 2012. https://doi.org/10.33899/edusj.2012.59159.

Chicago

talee, Ghada thanoon. 2012. "Eigenvectors adopted for geometrical shapes recognition.". https://doi.org/10.33899/edusj.2012.59159.

Harvard

talee, G. T. 2012, Eigenvectors adopted for geometrical shapes recognition, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59159 [Accessed 7 Aug. 2026].

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Title
Eigenvectors adopted for geometrical shapes recognition
Author / contributors
Ghada thanoon talee
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

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