Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41883
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dc.titleThe restoration of camera documents through image segmentation
dc.contributor.authorLu, S.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-04T08:38:06Z
dc.date.available2013-07-04T08:38:06Z
dc.date.issued2006
dc.identifier.citationLu, S.,Tan, C.L. (2006). The restoration of camera documents through image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3872 LNCS : 484-495. ScholarBank@NUS Repository.
dc.identifier.isbn3540321403
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41883
dc.description.abstractThis paper presents a document restoration technique that is able to flatten curled document images captured through a digital camera. The proposed method corrects camera images of documents through image partition, which divides distorted text lines into multiple small patches based on the identified vertical stroke boundary (VSB) and the fitted x-line and baseline of text lines. Target rectangles are then constructed through the exploitation of the characters enclosed within the partitioned image patches. With the constructed target rectangles and the partitioned image patches, global geometric distortion is finally removed through the local rectification of partitioned image patches one by one. Experimental results show that the proposed technique is fast, accurate, and easy for implementation. © Springer-Verlag Berlin Heidelberg 2006.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3872 LNCS
dc.description.page484-495
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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