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Information Journal Paper

Title

CATEGORIZATION OF PERSIAN DETACHED HANDWRITTEN LETTERS USING INTELLIGENT COMBINATIONS OF CLASSIFIERS

Pages

  13-21

Abstract

 Detecting optical characters is considered as the main responsibility to convert printed documents and manuscripts to digital format. In this article, detecting PERSIAN HANDWRITTEN letters using the combination of classifiers and features are assessed employing geometric and statistical sections' features. In order to detect each letter, it is divided into two parts; the major and the minor parts. Then, some features are presented for them. Preprocess algorithm prepares the possibility to unify dimension features for multiple words and delivers them to classifier for detection. The hierarchy classification can be obtained by separating the letters. In the following, the optimal answer will be reached by using GA method of different SVM, ML and KNN classifications. Extraction algorithm of required features is proved by using the evaluation of the basis of PCA. Empirical results represent classification of 94.3 and 92 accuracy in simple and multiple parts in 20 times repetition, respectively.

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  • Cite

    APA: Copy

    SADR, HOSSEIN, NAZARI SOLIMANDARABI, MOJDEH, & MIRHOSSEINI MOGHADAM, MAHSA. (2017). CATEGORIZATION OF PERSIAN DETACHED HANDWRITTEN LETTERS USING INTELLIGENT COMBINATIONS OF CLASSIFIERS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 8(4 (30)), 13-21. SID. https://sid.ir/paper/328893/en

    Vancouver: Copy

    SADR HOSSEIN, NAZARI SOLIMANDARABI MOJDEH, MIRHOSSEINI MOGHADAM MAHSA. CATEGORIZATION OF PERSIAN DETACHED HANDWRITTEN LETTERS USING INTELLIGENT COMBINATIONS OF CLASSIFIERS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2017;8(4 (30)):13-21. Available from: https://sid.ir/paper/328893/en

    IEEE: Copy

    HOSSEIN SADR, MOJDEH NAZARI SOLIMANDARABI, and MAHSA MIRHOSSEINI MOGHADAM, “CATEGORIZATION OF PERSIAN DETACHED HANDWRITTEN LETTERS USING INTELLIGENT COMBINATIONS OF CLASSIFIERS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 8, no. 4 (30), pp. 13–21, 2017, [Online]. Available: https://sid.ir/paper/328893/en

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