NDLI: An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts

Content Provider	IEEE Xplore Digital Library
Author	Alirezaee, S. Aghaeinia, H. Ahmadi, M. Faez, K.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran (Alirezaee, S.; Aghaeinia, H.)
Abstract	This paper aims to provide a restoration algorithm for the Pahlavi or middle-age Persian manuscript. This is the preliminary document processing view to this area. The central idea is based on the morphological analysis and connected component concept. The proposed algorithm uses the mathematical morphology and connected component concept to segment the line, word, and character overlapped Pahlavi documents and prepares those texts for OCR application. To evaluate the performance of the algorithm, it has been tested on 200 pages of the Pahlavi documents. The algorithm has a good success on document restoration and segmentation. Numerical results indicate that the proposed algorithm can remove the noise and destructive effects. The results also show 99.14% accuracy on the baseline detection, 97.35% accuracy on the text line extraction and removing other lines overlaps, and 99.5% accuracy for segmenting the extracted text lines to their components.
Starting Page	2114
Ending Page	2120
File Size	553010
Page Count	7
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571461
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Character recognition Entropy Morphology Text recognition Handwriting recognition Image segmentation Gray-scale Optical character recognition software Testing Connected component Document restoration Preprocessing Segmentation
Content Type	Text
Resource Type	Article

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