2D face recognition
Over the years, many research and implementation of face recognition technology for law enforcement purposes or use for identity authentication have been introduced over the world. To implement a face recognition system, several techniques can be used such as Principal Component Analysis (PCA), Line...
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sg-ntu-dr.10356-777352023-07-07T17:36:40Z 2D face recognition Yap, Choon Mei Chua Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Over the years, many research and implementation of face recognition technology for law enforcement purposes or use for identity authentication have been introduced over the world. To implement a face recognition system, several techniques can be used such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) or the Local Binary Patterns Histograms (LBPH). The main focus of this project is to build a database system for training and test on the success rate of recognizing the correct person name in the image using OpenCV library of LBPH technique and by setting a threshold range of the for the test images and observing the results. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-04T08:30:59Z 2019-06-04T08:30:59Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77735 en Nanyang Technological University 63 p. application/pdf |
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Asia |
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Singapore Singapore |
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English |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Yap, Choon Mei 2D face recognition |
| description |
Over the years, many research and implementation of face recognition technology for law enforcement purposes or use for identity authentication have been introduced over the world. To implement a face recognition system, several techniques can be used such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) or the Local Binary Patterns Histograms (LBPH). The main focus of this project is to build a database system for training and test on the success rate of recognizing the correct person name in the image using OpenCV library of LBPH technique and by setting a threshold range of the for the test images and observing the results. |
| author2 |
Chua Chin Seng |
| author_facet |
Chua Chin Seng Yap, Choon Mei |
| format |
Final Year Project |
| author |
Yap, Choon Mei |
| author_sort |
Yap, Choon Mei |
| title |
2D face recognition |
| title_short |
2D face recognition |
| title_full |
2D face recognition |
| title_fullStr |
2D face recognition |
| title_full_unstemmed |
2D face recognition |
| title_sort |
2d face recognition |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10356/77735 |
| _version_ |
1772825294349008896 |