Muhittin Gokmen

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One of the successful approaches in face recognition is the Gabor wavelets-based approach. The importance of the Gabor wavelets lie under the fact that the kernels are similar to the 2-D receptive field profiles of the man visual neurons, offering spatial locality, spatial frequency and orientation selectivity. In this work, we propose a new combination of(More)
In this paper, we propose a traffic sign detection and recognition technique by augmenting the scale invariant feature transform (SIFT) with new features related to the color of local regions. SIFT finds local invariant features in a given image and matches these features to the features of images that exist in the training set. Recognition is performed by(More)
A scalable parallel algorithm for edge detection and surface reconstruction is presented. The algorithm is based on tting a weak membrane to the pixel gray values by minimizing the associated energy functional. The edge detection process is modeled as a line process and used as a constraint in minimizing the energy functional of the image. The optimal edge(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)
This study is about the selection of classifiers in handwritten character recognition. The aim of the study is to determine the most appropriate classifier type for a given handwritten character feature vector. PCA based features were classified by both multilayer artificial neural networks (ANN) and support vector machines (SVM), and then the recognition(More)
This paper extends the face detection framework proposed by Viola and Jones to handle all upright face poses between full left and full right profiles and also describes its combination with Camshift based face tracking system. The whole 180deg degree range was divided into 5 sub-ranges and their corresponding view based detectors are constructed(More)
This paper describes the solution of power quality problems arising from 12-pulse smelter converters in the ETI Aluminum Works, Seydis$80ehir, Turkey. The design work is based on practical data collected in the field as well as on the results of detailed simulation studies obtained by EMTDC/PSCAD, SPICE, and MATLAB. The main design objective is to meet both(More)
We present a variational framework that integrates the statistical boundary shape models into a Level Set system that is capable of both segmenting and recognizing objects. Since we aim to recognize objects, we trace the active contour and stop it near real object boundaries while inspecting the shape of the contour instead of enforcing the contour to get a(More)
In this paper, it is shown that Local Zernike Moments (LZM), applied successfully to face recognition, can also be used successfully for the classification of traffic signs. The direct usage of the images produced by LZM is not very efficient in terms of computation time. So, a new method, named Quantized Local Zernike Moments (QLZM), is developed. QLZM has(More)
This study shows that Local Zernike Moments which is a novel study and works in face recognition efficiently can be used for facial expression recognition. Local Zernike Moments (LZM) method based on the calculation of moments at every pixel of the image unlike traditional Zernike Moments produces one moment value over whole image. Promising results are(More)