Face recognition using DCT-based feature vectors

Image analysis – Pattern recognition – Classification

Patent

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Details

382115, 382253, 382250, G06K 962, G06K 900, G06K 946, G06K 936

Patent

active

058022082

ABSTRACT:
A method and apparatus for recognition of objects such as faces in images using signal compression techniques (i.e., coding techniques) in which a portion of the image which includes the object to be recognized (e.g., the face) is coded, and the resultant coded data is matched against previously coded and stored training data which makes up a known object database. A given object in an input image signal is matched to one of a plurality of known objects stored in a database, wherein the stored representation of each of the known objects comprises a codebook generated based on training image signals comprising the known object. A first illustrative embodiment comprises the steps of decomposing the given object into blocks; performing a plurality of encodings of the given object, each encoding comprising coding the object with use of one of the codebooks; determining a coding error for each encoding; and matching the given object to one of the known objects based on the coding errors. A second illustrative embodiment comprises the steps of decomposing the given object into blocks; generating a codebook corresponding to the given object based on the blocks; comparing the codebook corresponding to the given object with the codebooks corresponding to each of the known objects; and matching the given object to one of the known objects based on the comparison of the codebooks.

REFERENCES:
Allen Gersho and Robert M. Gray Vector quantization and signal compression, 1992, pp. 309, 310, 393, 424, 425, Kluwer Academic Publishers, Boston/Dardrecht/London.
Lawrence Rabiner and Biing-Hwang Tuang, Fundamentals of Speech Recognition, 1993, pp. 122-125, 245, 246, Prentice Hall PTR, Englewood Cliffs, New Jersey.

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