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The change in morphology, diameter, branching pattern or tortuosity of retinal blood vessels is an important indicator of various clinical disorders of the eye and the body. This paper reports an automated method for segmentation of blood vessels in retinal images. A unique combination of techniques for vessel centerlines detection and morphological bit(More)
In iris recognition, accurate Iris segmentation is the most crucial step. Iris recognition systems are highly affected by the performance of iris segmentation processing. In this paper a robust and efficient method of iris segmentation is proposed. In the proposed scheme, the inner boundary of iris is calculated by finding the pupil center and radius using(More)
In this paper, an efficient method for personal identification based on the pattern of human iris is proposed. It is composed of image acquisition, image preprocessing to make a flat iris then it is converted into eigeniris and decision is carried out using only reduction of iris in one dimension. By comparing the eigenirises it is determined whether two(More)
this paper a new approach to face recognition is presented that achieves double dimension reduction making the system computationally efficient with better recognition results. In pattern recognition techniques, discriminative information of image increases with increase in resolution to a certain extent, consequently face recognition results improve with(More)
The appearance of the retinal blood vessels is an important diagnostic indicator of various clinical disorders of the eye and the body. Retinal blood vessels have been shown to provide evidence in terms of change in diameter, branching angles, or tortuosity, as a result of ophthalmic disease. This paper reports the development for an automated method for(More)
This paper illustrates how the conceptualization of Places can be used to inform the technical design of mobile learning system. We apply the concept of Place in a multi-agent framework for supporting informal city-wide mobile learning activities. By taking input from the theoretical framework for analysing collaborative learning activities, we adopt the(More)
Video segmentation has been and is likely to be an important component of the content-based video acquisition and retrieval systems. In this paper, we have proposed an video segmentation technique that uses Kohonan’s Self Organizing map (SOM) neural network for segmentation of color videos. It has been observed that, SOM training if performed on the(More)
In last decade researchers have a growing attention in domain of Wireless Sensor Networks (WSNs) due to numerous increasing automated industry and battle field applications. WSNs comprises of hundreds or even thousands of unsystematically deployed energy lacking sensor units. These sensors are aimed to transfer data from the field to distant Base Station(More)
Energy Efficiency has been categorized as one of the major challenges for Body Area Networks (BAN) due to the limited power supply and expected long life of nodes and networks. This work proposes to reduce the energy consumption of BAN through monitoring and eliminating the spatial correlated contention in the BAN nodes. The issues of spatial correlation(More)