Institutional-Repository, University of Moratuwa.  

Handwritten computer program recognition, compilation & execution application

Show simple item record

dc.contributor.advisor Premaratne, S
dc.contributor.author Wanigapura, MK
dc.date.accessioned 2017-11-28T14:23:56Z
dc.date.available 2017-11-28T14:23:56Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12911
dc.description.abstract Make a computer program that does automatically recognize a handwritten computer program, compile and execution is extremely difficult. The reasons for these are the various types, shapes of handwritten characters of different peoples. This paper provides an accurate handwritten character recognition method, which blend with the image processing and the training for handwritten characters. Further, automatic error correction of handwritten program, compilation and execution of the program, will be discussed in detail throughout the paper. Recognition of handwritten characters has been a research challenged. Handwritten character recognition belongs to the family of optical character recognition performing automatic identification. Among other issues in optical character recognition, handwritten identification, accuracy or the correctness is the main research issues. This research has developed a system for identification of handwritten characters. The solution can identify the handwritten characters with a higher level of accuracy. This solution can deal with any images captured by a digital camera or scanned images of handwritten characters. The algorithm applies on preprocessed image with handwritten characters. The preprocessor has used standard image processing techniques and the trainer is used to train for the specific handwritten characters. en_US
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY
dc.subject HANDWRITTEN CHARACTER RECOGNITION METHODS
dc.subject Image processing techniques
dc.title Handwritten computer program recognition, compilation & execution application en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology. en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2017-06
dc.identifier.accno TH3385 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record