Identify your hand gesture to write characters using image processing and for future development we can changed to make orders to your computer to make something.

- f => Frame window
- m => Mask window
- t => Threshold window
- h => Hue window
- s => Saturation window
- v => Value window

letters extracted from image

• OpenCV
• NumPy

Identification We assigned 5 characters to our program to identify: “A, L, M, V, W”

we categorized our problem to recognize the hand into two categories:

1. mask the hand out of background.
2. detect the characters from hand.

All code for all tries were very fast and we didn’t face any problem with performance.

1. detect hand dynamically.
2. detect hand under any illumination or position.
3. recognize hand signs effectively.
4. no need to put static color to segment hand.

1. if the hand area - not the whole background - has background with the same hand color and illumination the program will see the hand and its background as the hand.
2. you need your body to be static so the program can detects the dynamic movement of the hand

1. OpenCV Documentation: https://goo.gl/Epmiwd
2. NumPy Documentation: https://goo.gl/P4CJYk