Attendance management app using face regonition
| dc.contributor.author | Balsing, Altaf | |
| dc.contributor.author | Khan, Amanullah Vasiulah (12ET24) | |
| dc.contributor.author | Nachan, Shaineela Sahir (17DET54) | |
| dc.contributor.author | Hanfi, Sameena Asadullah (16ET03) | |
| dc.date.accessioned | 2021-11-08T09:39:24Z | |
| dc.date.available | 2021-11-08T09:39:24Z | |
| dc.date.issued | 2020-05 | |
| dc.description.abstract | Commencing from the last decade several different methods have been planned and developed in the prospect of face recognition that is one of the chief stimulating zone in the area of image processing. Face recognitions processes have various applications in the prospect of security systems and crime investigation systems. The study is basically comprised of three phases, i.e., face detection, facial features extraction and face recognition. The first phase is the face detection process where region of interest i.e., features region is extracted. The 2nd phase is features extraction. Here face features i.e., eyes, nose and lips are extracted out commencing the extracted face area. The last module is the face recognition phase which makes use of the extracted left eye for the recognition purpose by combining features of Eigenfeatures and Fisher features. | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3618 | |
| dc.language.iso | en | en_US |
| dc.publisher | AIKTC | en_US |
| dc.subject | Project Report - EXTC | en_US |
| dc.title | Attendance management app using face regonition | en_US |
| dc.type | Other | en_US |