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Right eye, left eye, nose and mouth. These features are extracted and applied to Common Vector Approach for face recognition. On the other hand, the holistic approach is widely used in face recognition because it extracts extremely represented features from the whole face region with respect to the pixels’ intensity values. As an operation, holistic face recognition tries to spot the global facial representations to distinguish faces. , 2003). , 1997). PCA is often used to reduce multidimensional data sets to lower dimensions in a subspace for analysis.
The methodologies for evolving bio-inspired architectures proposed in this chapter allow three different layers of abstraction. The modular evolution allows a high abstraction level, where the basic components used by the evolution are large functional modules such as ANN layers or fuzzy systems stages. The node evolution involves an intermediate level of abstraction, where the basic components used by the evolution are small functional modules, such as logic gates, neurons, or fuzzy rules. The third methodology, bit-string evolution, involves the lowest abstraction level, where the evolution directly determines the configuration bit-string reconfiguring the FPGA, and provides the possibility of executing the evolution on-chip and on-line.
1989). Multilayer feedforward networks are universal approximations. Neural Networks, 2, 359–366. , & Becker, J. (2005). Novel seamless design-flow for partial and dynamic reconfigurable systems with customized communication structures based on Xilinx Virtex-II FPGAs. In System Aspects in Organic and Pervasive Computing, Workshop Proceedings (pp. 39-44). , & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science, 304(5667), 78–80.