DocumentCode :
3340510
Title :
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
Author :
Rodner, Erik ; Susse, H. ; Ortmann, Wolfgang ; Denzler, Joachim
Author_Institution :
Dept.for Comput. Vision, Friedrich-Schiller Univ. Jena, Jena
fYear :
2008
fDate :
16-19 Sept. 2008
Firstpage :
263
Lastpage :
269
Abstract :
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we present an efficient segmentation framework using a preprocessing step for shadow suppression combined with a local thresholding technique. The method is based on a combination of difference of boxes filters and a new ternary segmentation, which are both simple low-level image operations. We also draw parallels to a recently published work on a ganglion cell model and show that our approach is theoretically more substantiated as well as more robust and more efficient in practice. Systematic evaluation of noisy input data as well as results on a large dataset of license plate images show the robustness and efficiency of our proposed method. Our results can be applied easily to any optical character recognition system resulting in an impressive gain of robustness against nonlinear illumination.
Keywords :
character recognition; filtering theory; image segmentation; automatic character recognition system; boxes filters; character segmentation; ganglion cell model; license plate images; local thresholding technique; nonlinear illumination; shadow suppression; ternary segmentation; Adaptive filters; Character recognition; Computer vision; Image segmentation; Layout; Licenses; Lighting; Robustness; Text analysis; Visual system; binarization; character segmentation; segmenation evaluation; shadow suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location :
Nara
Print_ISBN :
978-0-7695-3337-7
Type :
conf
DOI :
10.1109/DAS.2008.12
Filename :
4669969
Link To Document :
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