Off-line recognition of handwritten middle age Persian characters using moment

被引：4
|
作者：
Alirezaee S. [1 ]
Aghaeinia H. [2 ]
Faez K. [2 ]
Ahmadi M. [3 ]
机构：
[1] Engineering Department, Zanjan University, Zanjan
[2] Electrical Engineering Department, AmirKabir University of Technology, Tehran, Hafez Ave.
[3] Electrical and Computer Engineering Department, University of Windsor, Windsor, Ont.
来源：
Pattern Recognition and Image Analysis | 2006年 / 16卷 / 4期
关键词：
Moment Order; Zernike Moment; Invariant Moment; Renyi Entropy; Handwritten Character;
D O I：
10.1134/S1054661806040079
中图分类号：
学科分类号：
摘要：
In this paper, the performance of several moment invariant features combined with various classification methods for the recognition of middle age Persian manuscripts is presented. Specifically, Legendre moments (order 2 to 12), Zernike and pseudo-Zernike moments (order 2 to 15), and the set of invariant moments (φ1, φ2, ..., φ7) are used as features. These features are computed from four versions of character images; (1) grayscale character images (Set A), (2) semithresholded character images (Set B), (3) binarized character images (Set C), (4) character skeleton (Set D). For classification, we have used the minimum Mean Distance (MMD), k-nearest neighbor (KNN), and Parzen methods. The experiment yielded a 2.86% error rate (97.14% classification rate) with pseudo-Zernike moments on the semithresholded character images (set B). © Nauka/Interperiodica 2006.
引用
收藏
页码：622 / 631
页数：9
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