A face recognition system based on Pseudo 2D HMM applied to neural network coefficients

Author:

Bevilacqua Vitoantonio,Cariello Lucia,Carro Gaetano,Daleno Domenico,Mastronardi Giuseppe

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference15 articles.

1. Bevilacqua V, Mastronardi G, Pedone A, Romanazzi G and Daleno D (2006). A Hidden Markov Model for recognition using artificial neural networks, LNCS 4113. Springer, Heidelberg, 126–134

2. Cottrell GW, Munro P, Zipser D (1987) Learning internal representations from grey scale image: an example of extensional programming. In: Ninth annual conference of the cognitive science society, pp 462–473

3. Eickeler S, Mller S, Rigoll G (1998) High performance face recognition using pseudo 2-D Hidden Markov Models. In: European control conference

4. Eickeler S, Mller S and Rigoll G (2000). A recognition of jpeg compressed face images based on statistical methods. Image Vision Comput 18: 279–287

5. Huang J, Yuen PC, Lai JH and Li C (2004). Face recognition using local and global features. EURASIP J Appl Signal Process 4: 530–541

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