An introduction to digital image processing
An introduction to digital image processing
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Morphological text extraction from images
IEEE Transactions on Image Processing
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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.