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Human Gait Recognition is typically alluded to imply the human ID by the style/way individuals stroll in picture sequences. Our point is to execute the customary gait recognition calculation and to demonstrate the variety in recognition when subject is watched parallel to camera under three conditions-walking slow, at typical speed and walking quickly. For this situation, the work devises a novel...
This paper presents the results of the HDSRC 2014 competition on handwritten digit string recognition in challenging datasets organized in conjunction with ICFHR 2014. The general objective of this competition is to identify, evaluate and compare recent developments in Western Arabic digit string recognition with varying length. In addition, this competition introduces two new challenging datasets...
Automatic off-line Arabic handwriting recognition based on segmentation still faces big challenges. A database, covering all shapes of handwritten Arabic characters, is required to facilitate the recognition process. This paper introduces a new database for handwritten Arabic characters (HACDB), designed to cover all shapes of Arabic characters including overlapping ones. It contains 6,600 shapes...
Face detection and recognition is a hot topic in the field of computer science. Lots of scholars have done some research in this regard. Once this technology is mature, it can be applied to many aspects of daily life, especially to some key departments which are relatively dependent on this technology and expect to have a very precise method to detect and recognize. This paper compared and analyzed...
Human action understanding and recognition have various demands for different applications in the field of computer vision and human-machine interaction. Due to these issues, more than a decade, extensive researches are going on in this arena — to recognize various actions and activities. Researchers have been exploiting various action datasets and some of them become prominent. Though there are some...
A novel working angle recognition system of screw compressor valve using wavelets and Probabilistic Neural Networks for engineering application is proposed. According to tested valve vibration signal energy changing characteristic under different working angle of valve flake, the paper obtains vibration signal power distribution on different scales using continuous wavelet transform, that is, scale-wavelet...
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