Abstract
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.
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El Kheir, O., Ahouzi, E., Moreno, I. et al. Indexed optical composite filters. OPT REV 16, 15–21 (2009). https://doi.org/10.1007/s10043-009-0004-9
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DOI: https://doi.org/10.1007/s10043-009-0004-9