Zernike Moments-Based Gurumukhi Character Recognition

被引:10
|
作者
Aggarwal, Ashutosh [1 ]
Singh, Chandan [1 ]
机构
[1] Punjabi Univ, Dept Comp Sci, Patiala 147002, Punjab, India
关键词
IMAGE-ANALYSIS; FEATURES; ROTATION; SCALE;
D O I
10.1080/08839514.2016.1185859
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, use of Zernike moments is presented for invariant recognition of Gurumukhi characters. Zernike moments belong to a class of continuous orthogonal moments defined over a unit circle. So, for a square image, computations of Zernike moments involve a certain square-to-circle mapping to map the pixel coordinates within the range of the unit circle. There exist two forms of mapping, which are used by various authors in their research works. Here, a computational framework has been proposed for calculation of Zernike moments using both mapping techniques, and a comparison between the performances of both of these mapping techniques is shown through a series of extensive experiments.
引用
收藏
页码:429 / 444
页数:16
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