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- W2006316762 abstract "Text pictures in natural scene are necessary clues for several image-based applications like scene understanding, content-based image retrieval, helpful navigation, and automatic geocoding. However, locating text from a fancy atmosphere with multiple colors may be a difficult task. Although there are various techniques implemented for the detection of the text in natural scenes. The work implemented in paper(Text string detection from natural scenes by structural based partition and grouping) is based on Gradient based Partition and Color based Partition but the techniques implemented here provides less efficiency and the chances of error rate is more hence have less accuracy. But the technique implemented in this paper for the detection of texts in natural scenes is based on Ant based clustering. By using Ant clustering the performance of the technique for the detection of text has been increased." @default.
- W2006316762 created "2016-06-24" @default.
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- W2006316762 date "2013-07-01" @default.
- W2006316762 modified "2023-09-25" @default.
- W2006316762 title "Ant clustering based text detection in natural scene images" @default.
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- W2006316762 doi "https://doi.org/10.1109/icccnt.2013.6726747" @default.
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