Abstract: There exist several accessibility evaluation tools for websites. However, no formal framework is available to evaluate the performance of assistive tools that are used by blind users to use internet. In this paper, we present a hierarchical model for quantitative evaluation of assistive tools for blinds. Identifying various performance attributes and Design metrics, we establish relationship among these to obtain the overall performance Index of the assistive tools. It is hoped that researchers and the others concerned shall find the work relevant for further discussion and formalization in this direction.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9766
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Abstract: Handwriting recognition is one of the most challenging research areas during last few decades. It is often useful to have machine perform pattern recognition, than the human beings. Many research works has been carried out in handwritten recognition of different Indian languages. This paper describes simulation and modeling of handwritten Meitei Mayek (Manipuri script) digit recognition (HMMDR) using a neural network approach. We have collected 1000 samples of handwritten Meitei Mayek digits from various persons. Various pre-processing steps are applied on collected sample images before passing it to the neural network. Then the Neural Network has been trained and tested on these samples.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9769
• Views: 0
• Downloads: 0