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Online handwriting recognition

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dc.contributor.author Aatir Ahmed Wazi, 01-134161-002
dc.contributor.author Mehwish Mumtaz, 01-134161-027
dc.date.accessioned 2020-12-29T06:33:42Z
dc.date.available 2020-12-29T06:33:42Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/10690
dc.description Supervised by Dr. Imran Ahmed Siddiqui en_US
dc.description.abstract In today’s era of technology, the world is moving towards using gadgets to accomplish even the most basic tasks. With the increase in number of applications being uploaded to the online stores every day, the use of these gadgets is improving as well. Keeping in mind the need of ease of humans in daily life, we have designed an online handwriting recognition application for our final year project which aims to be another useful application to its users. To structure this application, we used DIP techniques along with Machine Learning and Artificial Intelligence for the system programmed with C# and Python. This system will be established on Windows platform for their tablets and notepads. Other platforms are also targeted but main aim of anticipated system is Windows platform. Online handwriting recognition is a window application that will let the user to enter their data in the form of handwriting. The application will store the input text in the form of digital text. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-8955
dc.subject Computer Science en_US
dc.title Online handwriting recognition en_US
dc.type Project Reports en_US


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