| dc.contributor.author | Bashir, Iqra Reg # 27125 | |
| dc.contributor.author | Dorazahi, Mah Jan Reg # 27136 | |
| dc.contributor.author | Shakeel, Mariam Reg # 27138 | |
| dc.contributor.author | Arshad, Sana Reg # 27255 | |
| dc.date.accessioned | 2020-12-11T00:46:51Z | |
| dc.date.available | 2020-12-11T00:46:51Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/10412 | |
| dc.description | Supervises by Muhammad Tariq Siddique | en_US |
| dc.description.abstract | Face recognition has adopted a huge consideration, particularly the previous few years. Facial recognition technology (FRT) has developed as an appealing answer for address numerous contemporary requirements for distinguishing verification and the check of personality claims. It unites the guarantee of other biometric frameworks, which endeavour to attach character to separately unmistakable body attributes and recognizable usefulness of perceptible observation frameworks. This report builds up a socio-political investigation that extensions the specialized and socio-technology literary works on FRT and addresses the interesting difficulties and worries that go to its improvement, assessment, and operational uses, substance, and objectives. It features the potential and confinements of the innovation, noticing those undertakings for which it appears to be prepared for sending, those regions where execution hindrances might be overwhelmed by future mechanical improvements or sound working methods, and still different issues which seem unmanageable. Its worry with adequacy extends to moral contemplations. Face acknowledgment innovation may take care of this issue since a face is obviously associated with its proprietor expect because indistinguishable twins. It’s non-transferable. The framework would then be able to contrast filters with records put away in a focal or neighbourhood database or even on a keen card. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BS CS;MFN BSCS 102 | |
| dc.title | LOCAL FEATURES BASED AGING FACE RECOGNITION FOR MISSING CHILDREN | en_US |
| dc.type | Thesis | en_US |