Title :
Detection and Recognition for Text in Traffic Sign Images
Author_Institution :
Robot & Autom. Res. Inst., Huanghe Sci. & Technol. Coll., Zhengzhou, China
Abstract :
A little practical database for training and testing of our traffic sign text detector, was established in this work. Advanced region extraction and text location methods, and error correction model was applied to recognize and understand the text in a traffic sign scene image. Experimental results showed the satisfactory performance for some natural scene images to contain traffic sign text.
Keywords :
error correction; feature extraction; mobile robots; object detection; optical character recognition; robot vision; text analysis; traffic engineering computing; OCR; error correction model; optical character recognition; region extraction method; text detection; text location method; text recognition; traffic sign images; traffic sign text detector; Databases; Detectors; Error correction; Image recognition; Optical character recognition software; Robots; Text recognition; OCR; Text Recognition; Traffic Sign Text;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.543
