Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Text segmentation using Gabor filters for automatic document processing
Machine Vision and Applications - Special issue: document image analysis techniques
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Segmentation using 2-D Gabor Elementary Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Embedded Reading Device for Blind People: A User-Centred Design
AIPR '04 Proceedings of the 33rd Applied Imagery Pattern Recognition Workshop
Text detection and segmentation in complex color images
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
A Weighted Finite-State Framework for Correcting Errors in Natural Scene OCR
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Breaking a 3d-based CAPTCHA scheme
ICISC'11 Proceedings of the 14th international conference on Information Security and Cryptology
Fast perspective recovery of text in natural scenes
Image and Vision Computing
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In the growing market of camera phones, new applications for the visually impaired are nowadays being developed thanks to the increasing capabilities of these equipments. The need to access to text is of primary importance for those people in a society driven by information. To meet this need, our project objective was to develop a multifunctional reading assistant for blind community. The main functionality is the recognition of text in mobile situations but the system can also deal with several specific recognition requests such as banknotes or objects through labels. In this paper, the major challenge is to fully meet user requirements taking into account their disability and some limitations of hardware such as poor resolution, blur, and uneven lighting. For these applications, it is necessary to take a satisfactory picture, which may be challenging for some users. Hence, this point has also been considered by proposing a training tutorial based on image processing methods as well. Developed in a user-centered design, text reading applications are described along with detailed results performed on databases mostly acquired by visually impaired users.