A retrieval technique for similar shapes
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
The “growing up” of HyperBraille—an office workspace for blind people
Proceedings of the 9th annual ACM symposium on User interface software and technology
Retrieving Multispectral Satellite Images Using Physics-Based Invariant Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity Searching in Medical Image Databases
IEEE Transactions on Knowledge and Data Engineering
A Multistep Approach for Shape Similarity Search in Image Databases
IEEE Transactions on Knowledge and Data Engineering
On Effective Conceptual Indexing and Similarity Search in Text Data
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Classification of Oriental and European Scripts by Using Characteristic Features
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Accessibility: a Web engineering approach
WWW '05 Proceedings of the 14th international conference on World Wide Web
A tactile web browser for the visually disabled
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
On the Use of Histograms for Image Retrieval
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Contour detection based on nonclassical receptive field inhibition
IEEE Transactions on Image Processing
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Nowadays, with the development of high-quality software, most presentations contain images. This makes a problem for visually impaired people, as there is a support for text-to-voice conversion but not for image-to-voice. For documents which combine images and text, we propose a hybrid model to make a meaningful and easily recognizable descriptor for images in three main categories (statistical, geometrical and non-geometrical). First, a neural classifier is trained, by mining the associated texts using advanced concepts, so that it can assign each document to a specific category. Then, a similarity matching with that category's annotated templates is performed for images in every other category. We have made a classifier by using novel features based on color projection and able to differentiate geometrical images from ordinary images. Thus we have significantly improved the similarity matching, to achieve more accurate descriptions of images for visually impaired users. An important feature of the proposed model is that its specific matching techniques, suitable for a particular category, can be easily integrated and developed for other categories.