Air-Writing Recognition System

Air-Writing is the use of an object or finger movements to create linguistic characters or words in free space. Writing in the air with fingers/using an object is practically a metaphor of pen-based writing. Detecting intended writing among extraneous finger/object movements entirely irrelevant to letters or words poses a challenge which should be addressed in the common pattern recognition methods. We propose a system that writes the exact mean of the motion that is drawn in front of the sensor using Hidden Markov Algorithm and OpenCV. This system draws the exact motion and is also used for virtual key generation. The output is shown like 2D trajectory and we will recognize the word error of the exact drawing. We will also analyze the 6-DOF (Degree Of Freedom) motion of the recognition. The findings of the experiments indicate that the average rate of recognition of digits and numbers is 98.3% accurate.