Oum El Kheir ABRA, Esmail AHOUZI^*, Ignacio MORENO¹, and Fakhita REGRAGUI²

Institut National des Postes et Télécommunications, Av. Allal al Fassi Madinat al Irfane, Rabat 10000, Maroc
¹Departamento de Ciencia y Tecnología de Materiales, Universidad Miguel Hernández, Elche 03202, Spain
²UFR ACSYS, Laboratoire LIMIARF, Département de Physique, Faculté des Sciences, Université Mohammed V, Rabat 10000, Maroc

(Received July 8, 2008; Accepted October 12, 2008)

A new technique called indexed composite filters (ICFs) for multiple object pattern recognition is proposed. Contrary to the usual so-called composite filters, the proposed ICF offers the possibility to identify which object of the learning class is detected at the output. The major advantage of ICF is that the output gives for every object detected two correlation peaks encoding the position and identity of the detected object. Computer simulation results are given using alphabetic input scenes that illustrates the efficiency of the proposed method.

Key words: composite filters, phase shifting, optical correlator, optical image processing, pattern recognition

^*E-mail address: ahouzi@inpt.ac.ma