Bahtiyar Kurt

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Ecological systems are governed by complex interactions which are mainly nonlinear. In order to capture the inherent complexity and nonlinearity of ecological, and in general biological systems, statistical models recently gained popularity. However, although these models, particularly connectionist approaches such as multilayered backpropagation networks,(More)
In this study, we present an approach for illumination invariant face recognition based on active appearance model (AAM) and the Gabor transform. Salient face components (i.e., eyes, nose, and chin) are extracted automatically by using AAM. We have showed that edges originating from object boundaries are far less susceptible to light source changes. Here,(More)
Fundamental difficulty in face recognition systems is mainly related to successful human face alignment from the input image. In recent years, model based approaches get attention among others. Most powerful method among model-based approaches is known as active appearance model. The method accomplishes this by constructing a relation between shape and(More)
In many vision applications, there is a great demand for an edge which can produce edge maps with very different characteristics in nature, so that one of these edge maps may meet the requirements of the problem under consideration. Unfortunately it is not evident how to choose the desired or the optimum edge maps from these solutions that the edge detector(More)
Although ARTMAP and ART-based models were introduced in early 70’s they were not used in characterizing and classifying ecological observations. ART-based models have been extensively used for classification models based on satellite imagery. This report, to our knowledge, is the first application of ART-based methods and specifically ARTMAP for predicting(More)
In this study, Gabor kernels, which are tuned for license plate texture, are used for detection of license plate position. In order to expand the application of license plate recognition into various fields, it is necessary to develop an algorithm qualified to handle more deformable plates. Finally we use affine rectification to recover any deformation on(More)
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