Automated Pattern Recognition Systems

     The ability of living organisms to solve identification problems is rooted in their perceptual and cognitive abilities to collect and analyze information from the environment [8, 9]. In contrast to biological systems, automated pattern recognition systems use algorithms to process data collected either electronically (via monitors or sensors) or transcribed by a human, resulting in an identification of the group of which the data are most representative. Fig. 2.1 illustrates the parallel between living organisms and automated pattern recognition systems.