Abstract
The application of multiaperture optics systems for pattern recognition is discussed. Multiaperture optics systems inherently perform some degree of optical preprocessing which reduces the amount of information offered to the system to a manageable level and so simplifies pattern recognition. The architecture of a typical multiaperture optics system is described and the performance of the system is computed. Due to the large number of lenses, a special detector array is required. Each detector terminates into a memory location which can be randomly accessed. The architecture of the multiaperture system requires special algorithms for pattern recognition. The basic idea is to treat each eyelet as a binary digit. It is shown that only one number is required to describe a given shape. Recognition is accomplished by looking up the stored recognition number.
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