Pattern Recognition Using the Ring-Wedge Detector and Neural-Network Software

摘要

In pattern recognition and in optical metrology, optical transform systems have been widely applied. Their use is particulary appropriate when the object is detailed and the recognition depends upon features that can be coarsely sampled in the transform space. Now with the advent of neural-network software, it is shown that the major difficulty in applying this optoelectronic hybird is overcome. Using the ring-wedge photodetector and neural-network software, we illustrate the classification technique using thumbprints. This is a problem of known difficulty to us. Instead of a 4 person-month effort to devise software for its solution, we find that a 4-hour effort is all that is required. Other experiments also discussed are the sorting of photographs of cats and dogs particulate suspensions, and image quality of digital halftones. All of these are shown to be promising examples for the application of the ring-wedge detector and neural-network software. Keywords: Diffraction pattern sampling; Neural networks; Pattern classification; Thumbprints; Particulates; Digital halftones. Reprints. (JHD)