TY  - JOUR
AU  - Lluis Gomez
AU  - Dimosthenis Karatzas
PY  - 2016//
TI  - A fast hierarchical method for multi‐script and arbitrary oriented scene text extraction
T2  - IJDAR
JO  - International Journal on Document Analysis and Recognition
SP  - 335
EP  - 349
VL  - 19
IS  - 4
KW  - scene text
KW  - segmentation
KW  - detection
KW  - hierarchical grouping
KW  - perceptual organisation
N2  - Typography and layout lead to the hierarchical organisation of text in words, text lines, paragraphs. This inherent structure is a key property of text in any script and language, which has nonetheless been minimally leveraged by existing text detection methods. This paper addresses the problem of textsegmentation in natural scenes from a hierarchical perspective.Contrary to existing methods, we make explicit use of text structure, aiming directly to the detection of region groupings corresponding to text within a hierarchy produced by an agglomerative similarity clustering process over individual regions. We propose an optimal way to construct such an hierarchy introducing a feature space designed to produce text group hypotheses withhigh recall and a novel stopping rule combining a discriminative classifier and a probabilistic measure of group meaningfulness based in perceptual organization. Results obtained over four standard datasets, covering text in variable orientations and different languages, demonstrate that our algorithm, while being trained in a single mixed dataset, outperforms state of the artmethods in unconstrained scenarios.
UR  - https://link.springer.com/article/10.1007/s10032-016-0274-2
L1  - http://refbase.cvc.uab.es/files/GoK2016.pdf
N1  - DAG; 600.056; 601.197
ID  - Lluis Gomez2016
ER  -