May 1, 2015

Space symbol detection on complex background using visual context

Published in ECMS 2015 DOI:10.7148/2015-0532

In this paper, we present a new technique of space symbol detection in the task of monospaced text recognition for credit cardholder name as an example. In the considered case, standard methods fail or have low quality because of background complexity and variability of symbol colors. Suggested method is based on the usage of two conjoined symbol images as an input for artificial neural network. This provides background visual context for the recognizer, which helps it to distinguish between symbols and spaces.

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