Publication: Preprocessing algorithms of sign writing image on altera de2-70 board
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| dc.contributor.author | Lee, Han Hong | |
| dc.date.accessioned | 2024-10-02T03:37:23Z | |
| dc.date.available | 2024-10-02T03:37:23Z | |
| dc.date.issued | 2012-06-01 | |
| dc.description.abstract | This project is to build an image preprocessing system of Sign Writing translation that is capable of smoothing the Sign Writing image for the feature extraction process. This system is done by using Altera’s FPGA DE2-70 board which features Nios II soft core processor. Image preprocessing techniques are able to smooth the image as well as to discard the undesired background to aid and to ease the subsequent processes, which are feature extraction and matching process, to translate the Sign Writing image into text word. Without a proper image preprocessing system, the Sign Writing image is difficult to be detected at the feature extraction stage and this could fail the matching process. In this project, Altera’s Quartus II, SOPC Builder and Nios II EDS software are used to construct the embedded system. By the aid of Quartus II, the design of hardware implementation is compiled and downloaded into the DE2-70 board. SOPC Builder is used to interconnect and configure the components that are needed in the system on the DE2-70 board. Subsequently, Nios II EDS performs the C language coding to code the algorithm and to program the behaviour of Nios II processor to manipulate the components on DE2-70 board to obtain the desired result. The Sign Writing translation system would benefit in generating an easier communication way between normal people and deaf people. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/20636 | |
| dc.language.iso | en | |
| dc.title | Preprocessing algorithms of sign writing image on altera de2-70 board | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |