Hand gesture for communication has proven effective for humans, and active research is
ongoing in replicating the same success in computer vision systems. Human–computer …

Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

Due to the noise interference and redundancy in multispectral images, it is promising to
transform the available spectral channels into a suitable feature space for relieving noise …

Hindi is the common and most popular language in the countries such as India, Nepal etc.
People use this language not only for conversation but also in their vehicles license plates …

The increasing availability of medical images generated via different imaging techniques
necessitates the need for their remote analysis and diagnosis, especially when such …

Training a neural network involves the adaptation of its internal parameters for modelling a
specific task. The states of the internal parameters during training describe how much …

Offline Urdu Nastaleeq text recognition has long been a serious problem due to its very
cursive nature. In order to get rid of the character segmentation problems, many researchers …

This work presents the diagnosis of iris nevus using a convolutional neural network (CNN)
and deep belief network (DBN). Iris nevus is a pigmented growth (tumor) found in the front of …

This paper presents a hand-written character recognition comparison and performance
evaluation for robust and precise classification of different hand-written characters. The …

The ability of the human visual processing system to accommodate and retain clear
understanding or identification of patterns irrespective of their orientations is quite …