A Gabor filter network based approach is used for feature extraction and classification of digital modulated signals by adaptively tuning the parameters of Gabor filter network. Modulation classification of digitally modulated signals is done under the influence of additive white Gaussian noise (AWGN). The modulations considered for the classification purpose are PSK 2 to 64, FSK 2 to 64, and Q...

Shape and texture features have been used for some time for pattern recognition in datasets such as remote sensed imagery, medical imagery, photographs, etc. In this paper, we investigate shape and texture features for pattern recognition in simulation data. In particular, we explore which features are suitable for characterizing regions of interest in images resulting from fluid mixing simulat...

In this paper, a combined shape-texture approach to discriminative face authentication is studied. Facial texture information is captured through Gabor responses (jets), similarly to the Elastic Bunch Graph Matching approach, but the points where filters are applied are located over lines that sketch the face. In this way, textural information is “shape-driven” and unlike other Gabor-based appr...

The choice of the object representation is crucial for an effective performance of cognitive tasks such as object recognition, fixation, etc. Face recognition is an example of advanced pattern recognition. The main aim is to investigate alternative methods to be used for face recognition, in particular the use of wavelets. The representation of images by Gabor wavelets is chosen for its biologi...

Image classification was performed using Gabor wavelet filters for image feature extraction, self-organising maps (SOM) for dimensional reduction of Gabor wavelet filters, and forward (FNN), Hermite (HNN) and Laguerre (LNN) neural networks to classify real and artificial fingerprint images from optical coherence tomography (OCT). Use of a SOM after Gabor edge detection of OCT images of fingerpr...

Our experiments explore whether contour processing of closed shapes is altered by healthy aging. Contour processing was measured using a closed contour (circle or ellipse) constructed of Gabor elements. The contour was presented either on a blank background or embedded in noise (identical Gabor elements of random orientation). Twenty-one older (age range: 61-80 years) and 21 younger (age range:...

The Gabor filter is applied using discrete wavelet transform for edge detection and contour tracing on true color images, whose wavelet functions provide the high resolution in both spatial and frequency domains. The number of wavelets also affects the quality of edge detection. To generate more accurate outcomes, integration of adaptive contrast stretching and Gabor wavelet transform is proper...

Gabor filters are a widely used feature extraction method in image analysis. In this study, a new method is presented that utilises Gabor filters for extracting fundamental frequencies of objects. The fundamental frequencies represent the shape of an object and can be used to classify objects with dissimilar spatial dimensions. Theoretical results are verified by experiments with real images of...

In this paper, we propose a face recognition algorithm using AAM and Gabor features. Gabor feature vectors which are well known to be robust with respect to small variations of shape, scaling, rotation, distortion, illumination and poses in images are popularly employed for feature vectors for many object detection and recognition algorithms. EBGM, which is prominent among face recognition algo...