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Object recognition using computer vision is a process usually split into two phases: object detection and object recognition. This paper focuses on the problem of detecting objects of diverse classes (e.g., faces, text) on images with cluttered scenes. If one know which objects are being targeted, it can apply specialized algorithms for those particular objects; e.g., HAAR classifiers to detect faces,...
This paper introduces a new approach in automatic attendance management systems, extended with computer vision algorithms. We propose using real time face detection algorithms integrated on an existing Learning Management System (LMS), which automatically detects and registers students attending on a lecture. The system represents a supplemental tool for instructors, combining algorithms used in machine...
Currently there are various technologies for converting written text into speech. Their common goal is the artificial generation of natural speech and in maximum is understandable. However, unfortunately such perfect convertors still can not be found. Therefore, research in this field is reasonable and with rising tendency, because it affects the advancement of performance of the existing solutions...
Language is the basic and most consummate way of communication between people. It can be materialized in two ways: spoken and written. Every society has a spoken language, even the primitive ones. Although only civilized societies have a written language with a defined alphabet. The presence of letters in the context of words determines the meaning, while the determined order of these in words presents...
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