Advanced optical correlation and digital methods for pattern matching-50th anniversary of Vander Lugt matched filter

• Published in: Journal of optics (2010) Vol. 14; no. 10; pp. 103001 - 1-20
• Main Author: MILLAN, Maria S
• Format: Journal Article
• Language: English
• Published: Philadelphia, Pa IOP Publishing 01.10.2012; IOP
• Subjects: Anniversaries; Biometrics; biometry; Correlation; digital image processing; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Image forming and processing; Imaging and optical processing; integral imaging; matched filter; Matching; multidimensional recognition; Object recognition; Optical computers, logic elements, interconnects, switches; neural networks; optical computing; optical correlation; Optical elements, devices, and systems; optical image processing; Optical processors, correlators, and modulators; optical security; Optics; pattern matching; Pattern recognition; Physics; Recognition; Three dimensional; Biometrics; Optical implementation; digital image processing; Image recognition; pattern matching; Image processing; Optical images; Optical computing; Retina; Encryption; Decryption; Optical processor; integral imaging; optical image processing; biometry; Fingerprint; multidimensional recognition; Pattern recognition; matched filter; Imagery; Matched filters; Algorithms; Optical correlation; Authentication; Joint transformation correlator; Optical security
• ISSN: 2040-8978; 2040-8986
• DOI: 10.1088/2040-8978/14/10/103001

On the verge of the 50th anniversary of Vander Lugt's formulation for pattern matching based on matched filtering and optical correlation, we acknowledge the very intense research activity developed in the field of correlation-based pattern recognition during this period of time. The paper reviews some domains that appeared as emerging fields in the last years of the 20th century and have been developed later on in the 21st century. Such is the case of three-dimensional (3D) object recognition, biometric pattern matching, optical security and hybrid optical-digital processors. 3D object recognition is a challenging case of multidimensional image recognition because of its implications in the recognition of real-world objects independent of their perspective. Biometric recognition is essentially pattern recognition for which the personal identification is based on the authentication of a specific physiological characteristic possessed by the subject (e.g. fingerprint, face, iris, retina, and multifactor combinations). Biometric recognition often appears combined with encryption-decryption processes to secure information. The optical implementations of correlation-based pattern recognition processes still rely on the 4f-correlator, the joint transform correlator, or some of their variants. But the many applications developed in the field have been pushing the systems for a continuous improvement of their architectures and algorithms, thus leading towards merged optical-digital solutions.