• Sushma Kakkar

Hand motion recognition is extremely noteworthy for human-PC connection. In this work, we present a novel genuine time method for hand signal recognition. In our system, the hand region is removed from the foundation with the foundation subtraction method. Then, the palm and fingers are fragmented in order to distinguish and perceive the fingers. At long last, a standard classifier is applied to anticipate the names of hand motions. The investigations on the informational collection of 1300 images show that our technique performs well and is profoundly effective. In addition, our strategy shows preferable presentation over a condition of-workmanship technique on another informational index of hand motions. In this paper, we present a proficient and effective method for hand signal recognition. The hand locale is distinguished through the foundation subtraction method. At that point, the palm what's more, fingers are part in order to perceive the fingers. After the fingers are perceived, the hand signal can be characterized through a basic guideline classifier.

Finger, segmentation, hand, recognition, gesture, human-computer interaction.

"Finger Segmentation Based Hand Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.411-416, February-2019, Available :http://www.jetir.org/papers/JETIREO06097.pdf

"Finger Segmentation Based Hand Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp411-416, February-2019, Available at : http://www.jetir.org/papers/JETIREO06097.pdf