A NEW SEGMENTATION METHOD FOR PERSIAN/ARABIC OCR BASED ON BASELINE PROCESSING

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SHAMSI M.; RASOULI KENARI A.A.R.; SHADRAVAN S.

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Journal Paper

Paper Information

Journal: Majlesi Journal of Electrical Engineering Year:2009 | Volume:3 | Issue:3 (10) Page(s): 51-58

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Title

A NEW SEGMENTATION METHOD FOR PERSIAN/ARABIC OCR BASED ON BASELINE PROCESSING

Author(s)

SHAMSI M. | RASOULI KENARI A.A.R. | SHADRAVAN S. | Issue Writer Certificate

Keywords

PERSIAN OCRQ3

SEGMENTATIONQ3

RECOGNITIONQ3

SMOOTHINGQ3

ARABIC OCRQ3

BASELINE METHODQ3

Abstract

One of the most important stages in Character RECOGNITION Systems is “Segmentation”, because any mistake will affect to all other tasks, especially to character RECOGNITION. This operation is more complex in Persian/Arabic writing than other Latin writing like English, and there has been an ongoing research on it. Other algorithms, that has been used as base as proposed algorithm, show 85% accuracy. In this paper, a new improved method has been presented by analyzing the visual features of the Persian/Arabic language. The proposed algorithm is able to segment existing fonts up to 98.5% accuracy or even 100% on some cases. The remaining error could be refined by applying a good character RECOGNITION technique and a precise vocabulary.

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APA: Copy

SHAMSI, M., RASOULI KENARI, A.A.R., & SHADRAVAN, S.. (2009). A NEW SEGMENTATION METHOD FOR PERSIAN/ARABIC OCR BASED ON BASELINE PROCESSING. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 3(3 (10)), 51-58. SID. https://sid.ir/paper/188239/en

Vancouver: Copy

SHAMSI M., RASOULI KENARI A.A.R., SHADRAVAN S.. A NEW SEGMENTATION METHOD FOR PERSIAN/ARABIC OCR BASED ON BASELINE PROCESSING. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2009;3(3 (10)):51-58. Available from: https://sid.ir/paper/188239/en

IEEE: Copy

M. SHAMSI, A.A.R. RASOULI KENARI, and S. SHADRAVAN, “A NEW SEGMENTATION METHOD FOR PERSIAN/ARABIC OCR BASED ON BASELINE PROCESSING,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 3, no. 3 (10), pp. 51–58, 2009, [Online]. Available: https://sid.ir/paper/188239/en

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