DSpace Repository

Android Based Recognition of Hand-Drawn Sketches for Automatic Digitization

Show simple item record

dc.contributor.author Arifa Aziz, 01-134112-098
dc.contributor.author Aliya Iqbal, 01-134112-007
dc.date.accessioned 2022-12-30T10:15:15Z
dc.date.available 2022-12-30T10:15:15Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/14577
dc.description Supervised by Dr. Imran Siddiqi en_US
dc.description.abstract Digital documents and presentations often contain sketches and diagrams and drawing these diagrams is a time consuming activity despite the availability of a number of drawing tools. In general, diagrams and sketches can be more easily drawn on paper with hand as compared to digital drawings. These hand-drawn sketches, however, are not very pleasing if directly added to digital documents and need to be converted into digital drawings. This automatic conversion of hand-drawn sketches to digital form is the subject of our study. This project presents an Android application that takes images of hand-drawn sketches, applies image analysis and pattern classification techniques and converts the hand-drawn diagram to a digital diagram. The hand-drawn image is provided to the application which binarizes it and extracts the connected components in the image. Hough transform is then applied to identify each shape as a circle, ellipse, rectangle or line. The recognized shapes are then digitally drawn and saved as an image. The system evaluated on varying hand-drawn drawings realized promising recognition rates. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (CS);P-5424
dc.subject Android Based en_US
dc.subject Recognition en_US
dc.subject Hand-Drawn Sketches en_US
dc.title Android Based Recognition of Hand-Drawn Sketches for Automatic Digitization en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account