Methods, system apparatus and devices for classification and recognition that is based on principal component analysis and is implemented in the transform domain using the fast two-dimensional PCA to processes the signal in the transform domain. The signal is represented with a reduced number of coefficients, therefore reducing the storage requirements and computational complexity while yeilding high recognition accuracy.
Application Serial Number
Assignee at Issuance
College of Engineering and Computer Science (CECS)
Electrical Engineering & Computer Science - CS Division
Assignee at Filing
Nonprovisional Application Record
Mikhael, Wasfy and Abdelwahab, Moataz, "Recognition and Classification Based on Principal Component Analysis in the Transform Domain" (2010). UCF Patents. 491.