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Iris recognition is the most reliable and accurate biometric identification system. Iris recognition system captures an image of an individual's eye, the iris in the image is segmented and normalized for extracting its feature. The performance of iris recognition systems depends on the process of segmentation of iris form the eye image. Segmentation is the most important part in iris recognition process...
In this paper, a fall detection algorithm has been built using intelligent analysis of captured video signal. Five geometrical features are extracted from input video signal and are recognized by a trained feed-forward neural network. Experimental results on our self-built database show that the proposed fall detection system can detect fall events with quite high precision under different falling...
This paper details a collection of traffic signs that has been made available online to meet the current need of lack of standard datasets for evaluation and comparison of existing and future developed recognition systems of traffic signs, leading to the exploration of the breath of innovations and applications in the field. Examples on how to apply these data are also described with comparisons between...
This paper comes within the framework of designing a recognition system of mathematical symbols. Through this, we first recall the general process of recognition of mathematical symbols while focusing on the description of our method for segmentation of offline mathematical symbols. Our goal is to detect, extract and segment the different symbols of mathematical expression. This expression will be...
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