dc.contributor.author |
Ghazal,Mohammed |
|
dc.contributor.author |
Alkhalil,Yasmina |
|
dc.contributor.author |
Ali,Samr Samir |
|
dc.contributor.author |
Haneefa ,Fasila |
|
dc.contributor.author |
Rashed, Eman |
|
dc.date.accessioned |
2018-07-24T09:51:11Z |
|
dc.date.available |
2018-07-24T09:51:11Z |
|
dc.date.issued |
2016 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/620 |
|
dc.description.abstract |
The rapid development of mobile computing technologies, as well as enhanced wireless communications, has paved the way for the development of the e-Government and m-Government systems. With the aim of increasing the accessibility of government services, such systems are still proven to be under-utilized, especially in the area of retrieving lost personal objects. In this paper, we propose a multiplatform mobile application for reporting and retrieval of lost objects in an efficient manner, rather than going through a manual procedure of filling up forms. The backend sever runs an object retrieval algorithm on the reported lost and found objects in the database, which is comprised of a textual search, a geographic information system filter, an image matching algorithm using Speeded Up Robust Features, followed by color validation using L*a*b* color space. Experiments have been performed on 40 lost objects against the database of 50 found objects with the accuracy of 95%, while providing a precision value of 100% and a 90% of recall. The efficiency and overall good performance of the proposed system can help in reducing the manual labor, as well as in providing fast feedback to the users. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Mobile archival |
en_US |
dc.subject |
Lost item retrieval |
en_US |
dc.subject |
Matching objects |
en_US |
dc.subject |
SURF algorithm |
en_US |
dc.title |
Archival and Retrieval of Lost Objects using Multi-feature Image Matching in Mobile Applications |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCDS/050107 |
|
dc.volume |
05 |
|
dc.issue |
01 |
|
dc.source.title |
International Journal of Computing and Digital Systems |
|
dc.abbreviatedsourcetitle |
IJCDS |
|