We describe a pose-invariant facial verification system for cooperative subjects for use in a controlled entry system. Facial images in several poses are acquired for template correlation to construct synthetic discriminate binary phase only filters (SDBPOF). SDBPOF is used to compensate for variances such as head rotation and tilt. Correlation accuracy is determined by SDBPOF construction. Subject identification based on facial appearance was performed with a digitally simulated 4-f optoelectronic correlator comparing performance between binary phase only filters (BPOFs) and SDBPOFs. Recognition accuracy and false positive rates were determined for each mode of operation.