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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Khan, Mubashir | - |
dc.contributor.author | Zakariya, Md. Hussian (12CO63) | - |
dc.contributor.author | Khan, Suhel (11CO25) | - |
dc.contributor.author | Khan, Shoeb (11CO24) | - |
dc.contributor.author | Pathan, Nazim (11CO21) | - |
dc.date.accessioned | 2016-05-12T04:35:37Z | - |
dc.date.available | 2016-05-12T04:35:37Z | - |
dc.date.issued | 2016-05 | - |
dc.identifier.uri | http://www.aiktcdspace.org:8080/jspui/handle/123456789/1574 | - |
dc.description | Project Report Submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Engineering | en_US |
dc.description.abstract | The objective of this system is to present an automated system for human face recognition for an organization or institute to mark the attendance of their students or employees. This paper introduces face detection method using the Voila and Jones algorithm and recognition using correlation technique. The system will record the attendance of the students in class room environment. The above system is fully automated and easily deployable. User gets an authentication to upload the image containing file and also to view the attendance. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | AIKTC | en_US |
dc.subject | Project Report - CO | en_US |
dc.title | Automated attendance system using face recognition | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | Computer Engineering - Project Reports |
Files in This Item:
File | Description | Size | Format | |
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PE0106.pdf | 1.33 MB | Adobe PDF | View/Open |
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