Many thresholding-based image enhancement techniques have been developed and used for document analysis, where the simplicity and efficiency of thresholding makes it ideal to use for classifying layers within documents. However, the efficiency of these enhancement techniques can be impaired by the variation of grey levels in different documents, thus causing over-thresholding or under-threshold...

This note reports the main research results of the Imaging and Graphic Research Group in the field of image analysis and enhancement. Particular emphasis, reporting also some major details, is given to methods and techniques devoted to unsupervised image analysis and classification, automatic text discrimination, adaptive interpolation and zooming, color and contrast enhancement.

Our research goal is to make the world smarter in day to day life. Nowadays, everything in the world is getting smarter i.e. for ex: smart phone, smart TV etc. Our project is mainly based on this concept, nothing but an interactive smart glass. It implies several constraints. First, conversion of image to text and produces output by voice. Second, Object recognition by using IR rays. Third, Enh...

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This paper presents an enhancement made to a high dimensional variant of a growing self organizing map called the High Dimensional Growing Self Organizing Map (HDGSOM) that enhances the clustering of the algorithm. The enhancement is based on randomness that expedites the self organizing process by moving the inputs out from local minima producing better clusters within a shorter training time....

In this paper, we propose a novel methodology for text detection in natural scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully processes natural scene images having shadows, non-uniform illumination, low contrast and large signaldependent noise. Conn...

There are many situations where non-real-time speech enhancement is required. For such applications, employing any available a priori knowledge can lead to more effective enhancement solutions. In this study, a novel text-directed speech enhancement algorithm is developed for usage in non-real-time applications. In our approach, the text of the intended dialogue is used to partition noisy speec...

We wanted to determine whether the 2- to 4-fold increases in reading speed found for patients with age-related macular degeneration (ARMD) when reading filtered text, presented one word at a time in the middle of the display would also be found when filtered text was scrolled across the screen. Reading speeds for filtered text that compensates for an observer's reduced contrast sensitivity func...