Text localization using valid optical flow for recognition of slab numbers
The goal of this study is to develop a new algorithm to determine the placement of text in images using two consecutive frames. The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection...
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| creator | Shim, SeungBo Choi, SungHoo Kim, SangWoo |
| description | The goal of this study is to develop a new algorithm to determine the placement of text in images using two consecutive frames. The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection of the LRB, several algorithms are proposed in this paper. First, morphological and geometrical information of the letters is used to identify TBB. Next, coarse LRB are determined using an optical flow, which is rendered by the combined methods of Lucas/Kanade and Horn/Schunck algorithms in video sequences. Finally, the texts are localized from the image based on optical flow field information. Experimental results of the text localization have 95.7% recall. The algorithm is developed in a module and can hence be embedded in a steel product management system easily. |
| doi_str_mv | 10.1109/ICCAS.2010.5670208 |
| format | Conference Proceeding |
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The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection of the LRB, several algorithms are proposed in this paper. First, morphological and geometrical information of the letters is used to identify TBB. Next, coarse LRB are determined using an optical flow, which is rendered by the combined methods of Lucas/Kanade and Horn/Schunck algorithms in video sequences. Finally, the texts are localized from the image based on optical flow field information. Experimental results of the text localization have 95.7% recall. 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The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection of the LRB, several algorithms are proposed in this paper. First, morphological and geometrical information of the letters is used to identify TBB. Next, coarse LRB are determined using an optical flow, which is rendered by the combined methods of Lucas/Kanade and Horn/Schunck algorithms in video sequences. Finally, the texts are localized from the image based on optical flow field information. Experimental results of the text localization have 95.7% recall. The algorithm is developed in a module and can hence be embedded in a steel product management system easily.</description><subject>flow field</subject><subject>identification numbers</subject><subject>Image color analysis</subject><subject>Image edge detection</subject><subject>Image sequences</subject><subject>Integrated optics</subject><subject>optical flow</subject><subject>Optical imaging</subject><subject>slab</subject><subject>Slabs</subject><subject>text localization</subject><subject>Vehicles</subject><isbn>1424474531</isbn><isbn>9781424474530</isbn><isbn>8993215022</isbn><isbn>9788993215021</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT8lOwzAUNEJI0OUH4OIfSLGf7Tg-VhHQokocmntlp8-VURpXccr29VjQuYxm0UhDyD1nC86ZeVzX9XK7AJa1KjUDVl2RSWWMAK4YwDWZcAlSaqkEvyXzlN5ZhgItKn5HXhv8GmkXW9uFHzuG2NNzCv2BfmRjT-NpDDmivouf1MeBDtjGQx_-itHT1FlH-_PR4ZBm5MbbLuH8wlPSPD819arYvL2s6-WmCIaNBQrXVlxatCUXWnkPEsF7h9IaZkq_R6XQQanBSA1S20zS6apUNt9RIKbk4X82IOLuNISjHb53l-viF86aTXQ</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Shim, SeungBo</creator><creator>Choi, SungHoo</creator><creator>Kim, SangWoo</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>Text localization using valid optical flow for recognition of slab numbers</title><author>Shim, SeungBo ; Choi, SungHoo ; Kim, SangWoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e3bc814aea61375ff24e2ffbe4a9096fde55eb2672947247a9474b7865a502523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>flow field</topic><topic>identification numbers</topic><topic>Image color analysis</topic><topic>Image edge detection</topic><topic>Image sequences</topic><topic>Integrated optics</topic><topic>optical flow</topic><topic>Optical imaging</topic><topic>slab</topic><topic>Slabs</topic><topic>text localization</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Shim, SeungBo</creatorcontrib><creatorcontrib>Choi, SungHoo</creatorcontrib><creatorcontrib>Kim, SangWoo</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>Shim, SeungBo</au><au>Choi, SungHoo</au><au>Kim, SangWoo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Text localization using valid optical flow for recognition of slab numbers</atitle><btitle>ICCAS 2010</btitle><stitle>ICCAS</stitle><date>2010-10</date><risdate>2010</risdate><spage>324</spage><epage>329</epage><pages>324-329</pages><isbn>1424474531</isbn><isbn>9781424474530</isbn><eisbn>8993215022</eisbn><eisbn>9788993215021</eisbn><abstract>The goal of this study is to develop a new algorithm to determine the placement of text in images using two consecutive frames. The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection of the LRB, several algorithms are proposed in this paper. First, morphological and geometrical information of the letters is used to identify TBB. Next, coarse LRB are determined using an optical flow, which is rendered by the combined methods of Lucas/Kanade and Horn/Schunck algorithms in video sequences. Finally, the texts are localized from the image based on optical flow field information. Experimental results of the text localization have 95.7% recall. The algorithm is developed in a module and can hence be embedded in a steel product management system easily.</abstract><pub>IEEE</pub><doi>10.1109/ICCAS.2010.5670208</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | flow field identification numbers Image color analysis Image edge detection Image sequences Integrated optics optical flow Optical imaging slab Slabs text localization Vehicles |
| title | Text localization using valid optical flow for recognition of slab numbers |
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