The Use Of Doctor-computer Interaction Devices In The Operation Room (OR) Requires New Modalities That Support Medical Imaging Manipulation While Allowing Doctors’ Hands To Remain Sterile, Supporting Their Focus Of Attention, And Providing Fast Response Times. This Paper Presents “Gestix,” A Vision-based Hand Gesture Capture And Recognition System That Interprets In Real-time The User’s Gestures For Navigation And Manipulation Of Images In An Electronic Medical Record (EMR) Database. Navigation And Other Gestures Are Translated To Commands Based On Their Temporal Trajectories, Through Video Capture. “Gestix” Access The Image Then Control Image What Ever We Give The Command To Processing The Image. A Simple Way To Store The Information Is Image Capturing Of The Handwritten Document And Save It In Image Format. The Method To Transform Handwritten Data Into Electronic Format Is ‘Optical Character Recognition’. It Involves Several Steps Including Pre-processing, Segmentation, Feature Extraction And Post-processing. Many Researchers Have Been Used OCR For Recognizing Character. This System Uses The Android Phone To Capture The Image Of The Document And Further Steps Are Done By OCR. The Main Challenge Is To Recognize The Characters From Different Styles Of Handwriting. Thus, A System Is Designed That Recognizes The Handwritten Data To Obtain An Editable Text. The Output Of This System Depends Upon The Data That Has To Be Written By The Writer. Our System Offers 90% Accuracy For Handwritten Documents And Gives The Easiest Way To Edit Or Share The Recognized Data.
