DSpace Repository

Phone Directory through Business Card

Show simple item record

dc.contributor.author Osama Iqbal, 01-134121-071
dc.date.accessioned 2017-05-22T07:19:29Z
dc.date.available 2017-05-22T07:19:29Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/869
dc.description Supervised by Dr. Samabia Tehseen en_US
dc.description.abstract This project is about reading the text information from business cards. The application takes the image of the card, recognize the text information, and store it as a contact. It also provides the backup of the whole data from the server. The application is able to search contacts on a certain location, in a company or any specific person. The work mostly depends on the image processing, SQLite database and SQL server database. Most of the implementation is done by using OpenCV algorithms by enhancing the image and preparing it for the recognition process. The Tesseract engine is used for achieving the text recognition. The application allow the user to verify the information recognized from the image. An information can be directly used by differentiating it on the basis of its category, whether it is phone number or an address. A route will be generated on the Google map to the location if it is an address. All the contacts can be uploaded to the server and retrieved from the server from anywhere in the world by the help of an account. PHP and Java is used for the connection to the server. A user account is authenticated by username and a password which is entered as one time process. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5447
dc.subject Computer Sciences. en_US
dc.title Phone Directory through Business Card 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