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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Novel System for Robust Text Location and Recognition of Book Covers
verfasst von : Zhiyuan Zhang, Kaiyue Qi, Kai Chen, Chenxuan Li, Jianbo Chen, Haibing Guan
Erschienen in: Computer Vision – ACCV 2009
Verlag: Springer Berlin Heidelberg
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Text location and recognition is a vital and fundamental problem of processing images. In this paper we propose a novel system for text location and recognition focused on book covers. Our work consists of two main parts, learning-based text location and adaptive binarization guided recognition. First we extract three types of robust features from the training data provided on ICDAR2005 and utilize Ada-boost to combine these features into a powerful classifier for text regions detection and location. Second we apply the proposed adaptive binarization to process the located regions for recognition. Compared with previous works, our algorithm is robust in size, font and color of text, and insensitive for languages. In experiments, our system proved to have attractive performance.