Projection-onto-constraint sets is an efficient algorithm for constructing synthetic discriminant functions to be employed in pattern-recognition systems. The algorithm is implemented by a digital procedure based on a simulated joint-transform correlator.
© 1991 Optical Society of America
Original Manuscript: January 23, 1991
Published: May 15, 1991
Joseph Rosen and Joseph Shamir, "Application of the projection-onto-constraint-sets algorithm for optical pattern recognition," Opt. Lett. 16, 752-754 (1991)