Vectorial Signatures for Pattern Recognition
نویسنده
چکیده
Due to the variety of shapes and sizes that present both living organisms and static objects, the necessity to look for automated systems of identification, both in industry and scientific research has arisen. During the 1960s, the scientific community in the field of optics has used the Fourier transform and other types of mathematical transformations for pattern recognition, taking advantage of their different properties; for example, invariance to position, rotation and scale.
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تاریخ انتشار 2012