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Welcome to DSpace BU Repository
Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
| dc.contributor.author | Aamir Irshad, 01-113082-001 | |
| dc.contributor.author | Mansoor Ijaz, 01-113082-016 | |
| dc.contributor.author | M. Ali Naeem, 01-113082-021 | |
| dc.date.accessioned | 2023-08-23T07:05:27Z | |
| dc.date.available | 2023-08-23T07:05:27Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16063 | |
| dc.description | Supervised by Ms. Aamina Jameel | en_US |
| dc.description.abstract | This project is based on image processing techniques. The aim of the project is to automate the security of the entrance of a workplace. The system uses a camera to take the image of the approaching user. Users enroll into the system with a push button and if the maximum number of users is not exceeded he can login. During login the user’s face image is captured and stored in memory temporarily for recognition using supervised learning from the training database. The system uses Principle Component Analysis technique for feature extraction. The effectiveness of the system is to demonstrate the baseline classifier such as NN for calculating true positive recognition rates. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Sciences | en_US |
| dc.relation.ispartofseries | BS (ETM);P-01785 | |
| dc.subject | Face | en_US |
| dc.subject | Recognition | en_US |
| dc.subject | System | en_US |
| dc.title | Face Recognition System | en_US |
| dc.type | Project Reports | en_US |
