6533b7cffe1ef96bd1259a3c

RESEARCH PRODUCT

Text localization from photos

Giuseppe MessinaLeonardo AgroEdoardo ArdizzoneMirko Guarnera

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer scienceFeature extractionPattern recognitionSupport vector machineSet (abstract data type)Text Localization Image UnderstandingDimension (vector space)Pattern recognition (psychology)Computer visionArtificial intelligencebusinessImage resolution

description

In this paper a new text extraction algorithm is proposed. In real scenes the text is usually overlapped or is part of the background. To identify the text regions, in complex conditions, a method exploiting a “multi-resolution feature based method” for extracting text with undefined dimension has been developed. Once identified, the multi-resolution information are merged and skimmed through a set of Support Vector Machines (SVM). The tests and the comparisons with other techniques, performed on heterogeneous images, have shown the effectiveness of the proposed.

yearjournalcountryeditionlanguage
2009-01-012009 Digest of Technical Papers International Conference on Consumer Electronics
https://doi.org/10.1109/icce.2009.5012184