Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Locating text in complex color images
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Extraction of Text Objects in Video Documents: Recent Progress
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Color reduction for complex document images
International Journal of Imaging Systems and Technology
A Laplacian Method for Video Text Detection
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A novel approach for text detection in images using structural features
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
A comprehensive method for multilingual video text detection, localization, and extraction
IEEE Transactions on Circuits and Systems for Video Technology
RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs
Journal of Visual Communication and Image Representation
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There are more than 161 million visually impaired people in the world today, of which 37 million are blind. Camera-based computer vision systems have the potential to assist blind persons to independently access unfamiliar buildings. Signs with text play a very important role in identification of bathrooms, exits, office doors, and elevators. In this paper, we present an effective and robust method of text extraction and recognition to improve computer vision-based indoor wayfinding. First, we extract regions containing text information from indoor signage with multiple colors and complex background and then identify text characters in the extracted regions by using the features of size, aspect ratio and nested edge boundaries. Based on the consistence of distances between two neighboring characters in a text string, the identified text characters have been normalized before they are recognized by using off-the-shelf optical character recognition (OCR) software products and output as speech for blind users.