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https://doi.org/10.1007/116694...
Part of book or chapter of book . 2006 . Peer-reviewed
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The Restoration of Camera Documents Through Image Segmentation

Authors: Shijian Lu; Chew Lim Tan;

The Restoration of Camera Documents Through Image Segmentation

Abstract

This 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.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
bronze