Muralindran Mariappan, and Manimehala Nadarajan, and Karthigayan Muthukaruppan , (2013) LabVIEW based intelligent frontal & non-frontal face recognition system. International Journal of Computer Science and Electronics Engineering (IJCSEE), 1 (1). pp. 136-140. ISSN 2320–4028
Official URL: http://www.isaet.org/images/extraimages/IJCSEE%200...
Face identification and tracking has taken a significant role in this modern technology. It had been widely used in security systems, intelligent robotics, mug shot and crowd surveillance. Face identification is a difficult task to be achieved as the position and orientation of the face will greatly impact the recognition and detection. In addition to that, changes in a person’s appearance can lead to difficulties in identifying who the person is. To circumvent this problem, a system is designed to identify and track a person in a pre-defined range for frontal and non-frontal image. In this paper, the focus is laid on the face recognition to identify a person using Neural Network using LabVIEW as the whole system software. The designed system in LABVIEW has been tested real- time which gives a high accuracy for recognition. Network has been trained based on the available database and LABVIEW software is responsible for the whole architecture.
|Uncontrolled Keywords:||Face recognition and detection, Frontal and nonfrontal, LABVIEW, Neural Network|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Divisions:||FACULTY > Faculty of Engineering|
|Deposited By:||IR Admin|
|Deposited On:||20 Dec 2016 11:35|
|Last Modified:||20 Dec 2016 11:35|
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