Christos-Nikolaos Anagnostopoulos

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—License plate recognition (LPR) algorithms in images or videos are generally composed of the following three processing steps: 1) extraction of a license plate region; 2) segmentation of the plate characters; and 3) recognition of each character. This task is quite challenging due to the diversity of plate formats and the nonuniform outdoor illumination(More)
This paper deals with a novel vehicle manufacturer and model recognition scheme, which is enhanced by color recognition for more robust results. A probabilistic neural network is assessed as a classifier and it is demonstrated that relatively simple image processing measurements can be used to obtain high performance vehicle authentication. The proposed(More)
— In this paper, a new algorithm for vehicle license plate identification is proposed, on the basis of a novel adaptive image segmentation technique (Sliding Concentric Windows-SCW) and connected component analysis in conjunction with a character recognition Neural Network. The algorithm was tested with 1334 natural scene gray level vehicle images of(More)
—In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed. This algorithm is assessed on a set of 1200 logo images that belong to ten distinctive vehicle manufacturers. A series of experiments are conducted , splitting the 1200 images to a(More)
Speaker emotion recognition is achieved through processing methods that include isolation of the speech signal and extraction of selected features for the final classification. In terms of acoustics, speech processing techniques offer extremely valuable paralinguistic information derived mainly from prosodic and spectral features. In some cases, the process(More)
This paper introduces a novel approach for authoring a diversity of multimedia resources (audio, video, text, images, etc). An authoring tool (Developer21) supporting a metadata model according MPEG-21 XML schema files is described. The main scope of Developer21 is to increase interactivity resulting from the use of metadata in several broadcast scenarios(More)
In this paper, the accessibility of the interactive television (iTV) is being discussed as a primary factor for its satisfactory adoption and commercial success. The work presented here is undertaken in the context of a research project that focuses on delivering iTV services to disabled children. This objective is accomplished through the utilization of(More)