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OBJECT RECOGNITION<br />
Object recognition is a process which identifies a specific object in a digital image or<br />
video. Object recognition algorithms rely on matching, learning, or pattern recognition<br />
algorithm using appearance-based or feature based techniques. Common techniques include<br />
edges, gradients, Histogram of Oriented Gradients, Haar wavelets, and linear<br />
binary patterns. The techniques using are such as color processing which are used as primary<br />
filtering to eliminate the unrelated color or object in the image. Besides that, shape detection has<br />
been used where it will use the edge detection, Circular Hough Transform .Identification of<br />
person is done by matching the data which is initially stored in the microcontroller. Person has to<br />
verify the object by placing it at the same place on the screen which was initially placed during<br />
the account opening. If the position and object is verified the system proceeds for the next step.<br />
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