A Comparative Study between the Pseudo Zernike and Krawtchouk Invariants Moments for Printed Arabic Characters Recognition

Rachid Salouan; Said Safi; Belaid Bouikhalene

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A Comparative Study between the Pseudo Zernike and Krawtchouk Invariants Moments for Printed Arabic Characters Recognition

机译：伪Zernike和Krawtchouk不变矩用于印刷阿拉伯字符识别的比较研究

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—In this paper, we are focused on characters recognition, for this we present a comparison between the Krawtchouk Invariant Moment (KIM) and the Pseudo Zernike Invariant Moment (PZIM) for the recognition of printed Arabic characters (translated, rotated and contaminated by noise). In the preprocessing phase, we use the thresholding technique, and in the learning-classification phases, we use the supports vectors machines (SVM).The simulation results demonstrates that the KIM method gives more significant results that the PZIM for each Arabic character.

机译：—在本文中，我们专注于字符识别，为此，我们对Krawtchouk不变矩（KIM）和伪Zernike不变矩（PZIM）之间的比较进行了比较，以识别印刷的阿拉伯字符（经过翻译，旋转并被噪声污染））。在预处理阶段，我们使用阈值技术，在学习分类阶段，我们使用支持向量机（SVM）。仿真结果表明，对于每个阿拉伯字符，KIM方法给出的结果比PZIM更重要。

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《Journal of Emerging Technologies in Web Intelligence》 |2014年第1期|共5页
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Rachid Salouan; Said Safi; Belaid Bouikhalene;
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中图分类自动化技术、计算机技术;
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2. An Effective Approach for Noise Robust and Rotation Invariant Handwritten Character Recognition Using Zernike Moments Features and Optimal Similarity Measure [J] . Singh Chandan, Aggarwal Ashutosh Applied Artificial Intelligence . 2020,第12a14期

机译：使用Zernike Moments特征和最佳相似度量的噪声鲁棒和旋转不变手写字符识别的有效方法
3. Rotation invariant complex Zernike moments features and their applications to human face and character recognition [J] . Singh C., Walia E., Mittal N. Computer Vision, IET . 2011,第5期

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机译：三次B样条小波矩和Zernike矩的组合特征用于不变字符识别
5. Optical Character Recognition of Printed Persian/Arabic Documents. [D] . Shafii, Mahnaz. 2014

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6. Combined invariants to similarity transformation and to blur using orthogonal Zernike moments [O] . Chen Beijing, Huazhong Shu, Hui Zhang, -1

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7. A Comparative Study between the Pseudo Zernike and Krawtchouk Invariants Moments for Printed Arabic Characters Recognition [O] . Rachid Salouan, Informatic Polydisciplinary, Sultan Moulay Slimane, 2015

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8. Zernike Moments and Rotation Invariant Object Recognition. A Neural NetworkOriented Case Study [R] . Krekel, P. F. 1992

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A Comparative Study between the Pseudo Zernike and Krawtchouk Invariants Moments for Printed Arabic Characters Recognition

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