Binarization of Document Images with Complex Background
Thresholding a gray-level image into two levels is the first step and also a critical part in most document image analysis systems since any error in this stage will propagate to all later analysis. Various algorithms have been proposed over past years, however, with a complex background, problem re...
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| creator | Zhang, Chong-yang Yang, Jing-yu |
| description | Thresholding a gray-level image into two levels is the first step and also a critical part in most document image analysis systems since any error in this stage will propagate to all later analysis. Various algorithms have been proposed over past years, however, with a complex background, problem remains unsolved. In this paper, we proposed a new document image binary method which is based on the gray level feature and the character stroke feature. We firstly designed a set of morphological perorations to describe strokes' local edge feature. Then a global threshold is selected based on a new projection histogram. Experiment results show the efficiency of our proposed method. |
| doi_str_mv | 10.1109/WICOM.2010.5601007 |
| format | Conference Proceeding |
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Various algorithms have been proposed over past years, however, with a complex background, problem remains unsolved. In this paper, we proposed a new document image binary method which is based on the gray level feature and the character stroke feature. We firstly designed a set of morphological perorations to describe strokes' local edge feature. Then a global threshold is selected based on a new projection histogram. 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Experiment results show the efficiency of our proposed method.</description><subject>Algorithm design and analysis</subject><subject>Feature extraction</subject><subject>Histograms</subject><subject>Image edge detection</subject><subject>Pixel</subject><subject>Text analysis</subject><issn>2161-9646</issn><isbn>1424437083</isbn><isbn>9781424437085</isbn><isbn>1424437091</isbn><isbn>9781424437092</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFT9tKw0AUXNGCbe0P6Mv-QOo5e99HG2-BSh8UfCyb7W5dbZKSpHj5egMWnIEZ5mWYIeQSYY4I9vq1yFdPcwZDlmpQ0CdkgoIJwTVYPP0Php-RMUOFmVVCjciEARiLaKU6J7Oue4cBQjKhYUz0ItWuTT-uT01Nm0hvG3-oQt3TonLb0NHP1L_RvKn2u_BFF85_bNvmUG8uyCi6XRdmR5-S5_u7l_wxW64eivxmmSULfYYRnZDgBgampSpZQG_ixnHnJPfGes1EqZlB7YdBInIJhpU8brAso-FTcvXXmkII632bKtd-r4__-S8B2Una</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Zhang, Chong-yang</creator><creator>Yang, Jing-yu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Binarization of Document Images with Complex Background</title><author>Zhang, Chong-yang ; Yang, Jing-yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-1f1a450a0a0e2756b2e1c8fda3aa53c89c724b72817c5244f35082b3fd1bbf83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithm design and analysis</topic><topic>Feature extraction</topic><topic>Histograms</topic><topic>Image edge detection</topic><topic>Pixel</topic><topic>Text analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Chong-yang</creatorcontrib><creatorcontrib>Yang, Jing-yu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Chong-yang</au><au>Yang, Jing-yu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Binarization of Document Images with Complex Background</atitle><btitle>2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)</btitle><stitle>WICOM</stitle><date>2010-09</date><risdate>2010</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2161-9646</issn><isbn>1424437083</isbn><isbn>9781424437085</isbn><eisbn>1424437091</eisbn><eisbn>9781424437092</eisbn><abstract>Thresholding a gray-level image into two levels is the first step and also a critical part in most document image analysis systems since any error in this stage will propagate to all later analysis. Various algorithms have been proposed over past years, however, with a complex background, problem remains unsolved. In this paper, we proposed a new document image binary method which is based on the gray level feature and the character stroke feature. We firstly designed a set of morphological perorations to describe strokes' local edge feature. Then a global threshold is selected based on a new projection histogram. Experiment results show the efficiency of our proposed method.</abstract><pub>IEEE</pub><doi>10.1109/WICOM.2010.5601007</doi><tpages>4</tpages></addata></record> |
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| issn | 2161-9646 |
| language | eng |
| recordid | cdi_ieee_primary_5601007 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Feature extraction Histograms Image edge detection Pixel Text analysis |
| title | Binarization of Document Images with Complex Background |
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