Title :
Text localization from photos
Author :
Guarnera, Mirko ; Messina, Giuseppe ; Ardizzone, Edoardo ; Agro, Leonardo
Author_Institution :
AST Catania Lab., STMicroelectronics
Abstract :
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 ldquomulti-resolution feature based methodrdquo 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.
Keywords :
character recognition; content-based retrieval; feature extraction; image resolution; support vector machines; character recognition; content-based retrieval; feature extraction; multi-resolution information; support vector machines; text extraction; text localization; Computer networks; Data mining; Image color analysis; Image converters; Image edge detection; Neural networks; Noise reduction; Optical character recognition software; Optical imaging; Support vector machines;
Conference_Titel :
Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4701-5
Electronic_ISBN :
978-1-4244-2559-4
DOI :
10.1109/ICCE.2009.5012184
