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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yajuan Song Yanxiang He Qingquan Li Ming Li |
| Copyright Year | 2009 |
| Description | Author affiliation: National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, 430072, China (Qingquan Li; Ming Li) || College of Computer Science, Wuhan University, Hubei, 430072, China (Yajuan Song; Yanxiang He) |
| Abstract | An algorithm for text detection in images from street view, basing on Haar-like features and AdaBoost classification is proposed in this paper. The idea is intended for searching a wanted place in a foreign city with the business name, the scene text and the street address. There are two contributions in this paper. First the difficulty of locating the specified buildings exactly in an unfamiliar city is analyzed, and then a novel application associated with a mapping application to the real view of target place is presented in this paper. Another is training a cascade AdaBoost classifier using several weak classifiers with Haar-like features, which examined our approach. The feasibility of proposed application has been evaluated using 216 training samples and 128 testing samples captured by ourselves in street view. The overall performance of our experiment is improved, a precision of 72.6% and a recall of 79.9%. |
| Starting Page | 227 |
| Ending Page | 232 |
| File Size | 1940324 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435036 |
| ISSN | 19310587 |
| DOI | 10.1109/IVS.2009.5164282 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Helium Cities and towns Earth Testing Global Positioning System Visualization Research and development Asia Mobile computing |
| Content Type | Text |
| Resource Type | Article |
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