Contents & References of Identity recognition with the help of human face image processing in an intelligent way
List:
Chapter 1 - Introduction. 1
1-1- Introduction. 2
Chapter 2 - An overview of the research background. 5
2-1- Introduction. 6
Face recognition using special faces 6
2-3- General system. 10
2-3-1- Face database shaping phase 10
2-3-2- Training phase. 11
2-3-3- Recognition and learning phase. 11
2-4- Calculation of features 13
2-5- Principal components analysis method (PCA) 17
2-6- LDA linear resolution analysis method. 21
2-7- ICA independent component analysis method. 23
Chapter 3 - The main concepts of face recognition. 28
3-1- Introduction. 29
3-2- The main concepts of pattern and face recognition 29
3-2-1- Overview 29
3-2-2- Recognition of real items. 29
3-2-3- Identifying abstract items. 29
3-3- Patterns and classes of patterns 30
3-4- Basic issues in the design of pattern recognition system. 31
3-5- Learning and practicing. 32
3-6 supervised and unsupervised pattern recognition. 33
3-7- Generalities of a pattern recognition system. 33
3-8- Generalities of a general face recognition system. 35
3-8-2- Receiving module. 35
3-8-3- Preprocessing module. 36
3-8-4- feature extraction module. 37
3-8-5- Classification module. 37
3-8-6- exercise set. 38
3-8-7- Face database 38
Chapter 4 - Proposed model and method. 39
4-1- Introduction. 40
4-2- Linear discriminant analysis for image matrix (2D-LDA) 40
4-3- Support vector machine (SVM) 46
4-4- Intelligent method. 52
4-4-1- Introduction ..52
4-4-2- Using support vector machines (2D-LDA-SVM method) 52
4-4-3- Using both image dimensions for more complete training (2D-2D-LDA-SVM) 53
Chapter 5 - Results 55
5-1- Introduction of used data bank 56
5-1-1- ORL data bank. 56
5-1-2- YALE data bank. 57
5-2- The results of the implementation of experiments in MATLAB software. 58
5-3- Results of 2D-LDA-SVM method. 58
5-3-1- Implementation on the ORL database. 58
5-3-2- Comparison of 2D-LDA-SVM method with 2D-LDA method. 62
5-3-3- Implementation on the YALE database. 63
5-4- Results of 2D-2D-LDA-SVM method. 65
5-4-1- Implementation on the ORL database. 65
5-4-2- Comparison of 2D-2D-LDA-SVM method with 2D-LDA method. 67
5-4-3- Implementation on the YALE database. 68
5-5- Comparison of 2D-2D-LDA-SVM methods with 2D-LDA-SVM. 70
5-5-1- ORL data bank. 70
5-5-2- YALE data bank. 71 5-6- Conclusions and suggestions. 72 References 75 Source: [1] M. Kirby and L. Sirovich, "Application of the Karhunen-Loeve procedure for the characterization of human faces," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 12, pp. 103-108, 1990.
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