Boundary and Region based Moments Analysis for Image Pattern Recognition

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Volume 10, Issue 1

U Ravi Babu, Md Mastan and Y Venkateswarlu

J. Info. Comput. Sci. , 10 (2015), pp. 040-045.

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Abstract

In a number of pattern recognition application, moments have been used to recognize image patterns. The recognition process involves effective shape representation method. So, the present paper analyzes the recognition rate in two different shape representation methods called external and internal representation. With the proper shape representation of the given image pattern, the present paper has computed 7 boundary (external) based and 10 region (internal) based Hu moments. The experimental results on five different pattern image groups (Brick, Circle, Curve, Line and Zigzag) are precisely recognized by both boundary based and region based moments of order 1 and 10 respectively.

Keywords

Skeleton, Hu Moment, recognition

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@Article{JICS-10-040, author = {U Ravi Babu, Md Mastan and Y Venkateswarlu}, title = {Boundary and Region based Moments Analysis for Image Pattern Recognition}, journal = {Journal of Information and Computing Science}, year = {2015}, volume = {10}, number = {1}, pages = {040--045}, abstract = { In a number of pattern recognition application, moments have been used to recognize image patterns. The recognition process involves effective shape representation method. So, the present paper analyzes the recognition rate in two different shape representation methods called external and internal representation. With the proper shape representation of the given image pattern, the present paper has computed 7 boundary (external) based and 10 region (internal) based Hu moments. The experimental results on five different pattern image groups (Brick, Circle, Curve, Line and Zigzag) are precisely recognized by both boundary based and region based moments of order 1 and 10 respectively. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22563.html} }

TY - JOUR T1 - Boundary and Region based Moments Analysis for Image Pattern Recognition AU - U Ravi Babu, Md Mastan and Y Venkateswarlu JO - Journal of Information and Computing Science VL - 1 SP - 040 EP - 045 PY - 2015 DA - 2015/03 SN - 10 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22563.html KW - Skeleton, Hu Moment, recognition AB - In a number of pattern recognition application, moments have been used to recognize image patterns. The recognition process involves effective shape representation method. So, the present paper analyzes the recognition rate in two different shape representation methods called external and internal representation. With the proper shape representation of the given image pattern, the present paper has computed 7 boundary (external) based and 10 region (internal) based Hu moments. The experimental results on five different pattern image groups (Brick, Circle, Curve, Line and Zigzag) are precisely recognized by both boundary based and region based moments of order 1 and 10 respectively.

U Ravi Babu, Md Mastan and Y Venkateswarlu. (2015). Boundary and Region based Moments Analysis for Image Pattern Recognition. Journal of Information and Computing Science. 10 (1). 040-045. doi:

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