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Extraction of Scene Text in HSI Color Space using K-means Clustering with Chromatic and Intensity Distance (CROSBI ID 606650)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Šarić, Matko ; Stella, Maja ; Šolić, Petar Extraction of Scene Text in HSI Color Space using K-means Clustering with Chromatic and Intensity Distance // Recent advances in information sciences - Proceeedings of the 5th European conference of compute science (ECCS'13). 2013. str. 136-141

Podaci o odgovornosti

Šarić, Matko ; Stella, Maja ; Šolić, Petar

engleski

Extraction of Scene Text in HSI Color Space using K-means Clustering with Chromatic and Intensity Distance

Text extraction is important step that strongly influences on the final recognition performance. This task is especially challenging in case of scene text which is characterized with wide set of degradations like complex backgrounds, uneven illumination, viewing angle, etc. In this paper we evaluated text extraction based on K-means clustering in HSI color space with chromatic distance and intensity distance. Obtained results are analyzed with respect to their complementarity in order to show potential for performance improvement. Comparison is also made with approach using cylin drical distance in K-means clustering of HSI image.

scene text extraction; K - means; chromatic distance; intensity distance

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Podaci o prilogu

136-141.

2013.

objavljeno

Podaci o matičnoj publikaciji

Podaci o skupu

5th European Conference of Computer Science (ECCS'13)

predavanje

29.10.2013-31.10.2013

Pariz, Francuska

Povezanost rada

Elektrotehnika, Računarstvo