An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts
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 mo...
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creator | Alirezaee, S. Aghaeinia, H. Ahmadi, M. Faez, K. |
description | 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. |
doi_str_mv | 10.1109/ICSMC.2005.1571461 |
format | Conference Proceeding |
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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.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 9780780392984</identifier><identifier>ISBN: 0780392981</identifier><identifier>EISSN: 2577-1655</identifier><identifier>DOI: 10.1109/ICSMC.2005.1571461</identifier><language>eng</language><publisher>IEEE</publisher><subject>Character recognition ; Connected component ; Document restoration ; Entropy ; Gray-scale ; Handwriting recognition ; Image restoration ; Image segmentation ; Morphology ; Optical character recognition software ; Preprocessing ; Segmentation ; Testing ; Text recognition</subject><ispartof>2005 IEEE International Conference on Systems, Man and Cybernetics, 2005, Vol.3, p.2114-2120 Vol. 3</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1571461$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1571461$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Alirezaee, S.</creatorcontrib><creatorcontrib>Aghaeinia, H.</creatorcontrib><creatorcontrib>Ahmadi, M.</creatorcontrib><creatorcontrib>Faez, K.</creatorcontrib><title>An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts</title><title>2005 IEEE International Conference on Systems, Man and Cybernetics</title><addtitle>ICSMC</addtitle><description>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.</description><subject>Character recognition</subject><subject>Connected component</subject><subject>Document restoration</subject><subject>Entropy</subject><subject>Gray-scale</subject><subject>Handwriting recognition</subject><subject>Image restoration</subject><subject>Image segmentation</subject><subject>Morphology</subject><subject>Optical character recognition software</subject><subject>Preprocessing</subject><subject>Segmentation</subject><subject>Testing</subject><subject>Text recognition</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9780780392984</isbn><isbn>0780392981</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtLAzEYRYMPsNb-Ad1kqYupSSbPZRl8FCoW7MKFUDKTL53IPEoSBf-9FQsX7oELZ3ERuqZkTikx98vq7aWaM0LEnApFuaQnaMKEUgWVQpyimVGaHFIaZjQ_QxNKJCsMY-8X6DKlT0IY4VRP0MdiwOB9aAIMGUdIeYw2h3HAttuNMeS2x36MOLeA2_C3hgb3wbkOCrsDvIaYgh3w7dq2nf0Od7i3w1dqYtjndIXOve0SzI49RZvHh031XKxen5bVYlUEQ3IhlJFO81KyxgkvKFinrLCMG6490FoRp4FYLaBuhJGCe8nhwLV3zhJfl1N0868NALDdx9Db-LM9_lL-AqN6Vz0</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Alirezaee, S.</creator><creator>Aghaeinia, H.</creator><creator>Ahmadi, M.</creator><creator>Faez, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts</title><author>Alirezaee, S. ; Aghaeinia, H. ; Ahmadi, M. ; Faez, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5796d84362cd5f51ead7a5a24948fe1b70d8e0a85ebc59654f64eebcbfdda0fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Character recognition</topic><topic>Connected component</topic><topic>Document restoration</topic><topic>Entropy</topic><topic>Gray-scale</topic><topic>Handwriting recognition</topic><topic>Image restoration</topic><topic>Image segmentation</topic><topic>Morphology</topic><topic>Optical character recognition software</topic><topic>Preprocessing</topic><topic>Segmentation</topic><topic>Testing</topic><topic>Text recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Alirezaee, S.</creatorcontrib><creatorcontrib>Aghaeinia, H.</creatorcontrib><creatorcontrib>Ahmadi, M.</creatorcontrib><creatorcontrib>Faez, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alirezaee, S.</au><au>Aghaeinia, H.</au><au>Ahmadi, M.</au><au>Faez, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts</atitle><btitle>2005 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2005</date><risdate>2005</risdate><volume>3</volume><spage>2114</spage><epage>2120 Vol. 3</epage><pages>2114-2120 Vol. 3</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9780780392984</isbn><isbn>0780392981</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2005.1571461</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Character recognition Connected component Document restoration Entropy Gray-scale Handwriting recognition Image restoration Image segmentation Morphology Optical character recognition software Preprocessing Segmentation Testing Text recognition |
title | An efficient restoration algorithm for the historic middle-age Persian (Pahlavi) manuscripts |
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