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Identity management through biometrics provides huge advantage over traditional systems. This paper provides an extensive review of various biometrics technologies. A wide variety of biometric modalities like finger print, palm print, iris, facial features etc. are discussed in detail. Later these modalities are compared using various parameters. We have also discussed various multimodal biometric...
Diabetic Retinopathy is an eye disorder that leads to blindness caused by damage in retina. For this reason the exact recognition of vessels become difficult. In order to overcome this difficulty and early detection of eye diseases there are various vessel segmentation techniques. This paper presents a Hybrid Neighbourhood Estimator before Filling (NEBF) with ACO which enables us to segment vessels...
Diabetes is a disease that reduces the human body's ability to store and regulate sugar. This disease develops due to excessive intake of food with higher sugar, excessive work pressure or unbalanced routines lacking in proper diet. Diabetes once developed is then harder to overcome and thus effects the human body functioning leading to failure of many human body parts. One of the major problem associated...
The most important goal in image segmentation is extraction and description structural configurations with based on few input features or knowledge of an expert. Traditional techniques for medical image segmentation involve more time complexity thereby developing an obstacle in real time application schemes. This paper presents various ways of medical image segmentation. Image segmentation can be...
Convolutional Neural Networks have been performing exceptionally well for the recognition of worldly objects and there are various trained models available which can give you the class of an object if an image of the object is fed as their input. But, we can also retrain an already trained model for anotherset of classes of our interest and we have retrained such a model to check the severity of Diabetic...
Content Based Image Retrievals has become the most abbreviated thrust area today. The article we propose is a methodology for identifying the images based on relevancy using Kullback-Leibler method together with Generalized Gamma mixture model. The experimentation is carried out on the medical dataset namely med.univ-rennes1.fr and the results derived are compared for accuracy in terms of better perception...
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