| 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 |