LabVIEW based intelligent frontal & non-frontal face recognition system
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Scientific Academy of Engineering and Technology (ISAET)
2013
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| Subjects: | |
| Online Access: | http://eprints.ums.edu.my/15260/ http://eprints.ums.edu.my/15260/ http://eprints.ums.edu.my/15260/1/LabVIEW_based_intelligent_frontal.pdf |
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| Summary: | 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. |
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