Syazana Itqan, Khalid (2015) Developing A Face Recognition System Using Convolutional Neural Network. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Developing A Face Recognition System Using Convolutional Neural Network.pdf - Submitted Version Download (616kB) |
Abstract
The research on face recognition still continues after several decades the study of this biometric trait exists. This project is focusing on developing a face recognition system. Convolutional Neural Network (CNN) technique was used for face identification process. In CNN, the segmentation, feature extraction and classification process are combined in one processing module with minimal pre-processing task on the input image. In this system, a General User Interface (GUI) is the main component of the system. The image preprocessing steps were implemented in MATLAB, while the CNN algorithm was implemented in C language (using GCC compiler). The GUI linked all the steps from image preprocessing to face recognition. A user friendly system was successfully developed.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Neural networks (Computer science), Biometric identification, Human face recognition (Computer science) |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Library > Final Year Project > FKEKK |
| Depositing User: | Mohd Hannif Jamaludin |
| Date Deposited: | 28 Apr 2016 01:00 |
| Last Modified: | 28 Apr 2016 01:00 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/16420 |
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