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A natural yet relatively unexplored way to classify hand gestures is to first count the number of fingers identifiable in a hand image. Feature variations introduced through imperfect hand segmentation or unconstrained gesture input hampers the performance of present boundary-based finger identification techniques. In this paper, we describe an adaptive parameterless procedure that strategically decomposes...
Ellipses and elliptical features are evident in abundance, in a wide variety of digital images. Much of these features carry within itself useful statistical and geometrical information that can be exploited for a broad range of real-world applications. Algorithms developed of late for ellipse detection are application specific and are mainly based on traditional least-square fitting and Hough transform...
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