FORMAT FOR MONTHLY PROGRESS REPORTTITLE OF THE PROJECT: Offline Handwriting RecognitionTEAM MEMBERS: ABHISHEK SHARMA (1MV10CS003)AMIT AGRAWAL (1MV10CS009)AKASH DEEP DAS (1MV10CS006)DEPARTMENT: COMPUTER SCIENCE & ENGINEERINGNAME OF THE GUIDE: Mr. Ravindra R PatilDURATION: 1 MONTH FROM: 8th Feb TO: 10th March

DETAILS OF THE WORK CARRIED OUT:The Research for the project is being carried out and we have made the basic application model. The interaction between human and a computer system is carried out using a standard pen input device or a pointing device.The basic framework to support visualization of the data has been built and we have developed algorithms to detect the brush stroke size. The system starts with a predefined pixel and traverses the surrounding pixels in a clockwise manner identifying the probable boundaries and shifting the pseudo center so as the correct its position. Once the pseudo center and the probable boundaries have achieved reasonable accuracy, the brush stroke size is identified.

SIGNATURE OF THE GUIDE SIGNATURE OF COORDINATOR SIGNATURE OF THE HOD

MODULES AND FUNCTIONS :

.NET Framework 4.5 is used Windows API is used to obtain windows handle to natively handle display Using the windows handle the input pixels are scanned for faster processingHOW IT WORKS :

Draw On Display Panel

Scan Pixels using API and unsafe code

Process raw data to obtain character probabilities