Image analysis – Pattern recognition – Template matching
Patent
1996-08-01
2000-08-15
Mehta, Bhavesh
Image analysis
Pattern recognition
Template matching
382190, 382218, 382306, G06K 962
Patent
active
061048348
ABSTRACT:
A fast, memory efficient, and accurate document image matching system is disclosed. Document image matching is based on identifying anchor points of characters in the document. The document matching process includes a feature extraction step where anchor points, e.g., points representing approximate locations of characters, are identified as features for matching. In a particularly efficient implementation, the anchor points are "pass codes" in a two-dimensionally encoded representation of a document image.
REFERENCES:
patent: 4941193 (1990-07-01), Barnsley et al.
patent: 5065447 (1991-11-01), Barnsley
patent: 5245676 (1993-09-01), Spitz
patent: 5263136 (1993-11-01), DeAguiar et al.
patent: 5267047 (1993-11-01), Argenta et al.
patent: 5388167 (1995-02-01), Koga et al.
patent: 5414781 (1995-05-01), Spitz et al.
patent: 5465353 (1995-11-01), Hull et al.
patent: 5533144 (1996-07-01), Fan
patent: 5574840 (1996-11-01), Kwatinetz et al.
patent: 5586196 (1996-12-01), Sussman
patent: 5623679 (1997-04-01), Rivette et al.
patent: 5708825 (1998-01-01), Sotomayor
Daniel P. Huttenlocher, Gregory A. Klanderman, and William J. Rucklidge, "Comparing Images Using the Hausdorff Distance", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, No. 9, Sep. 1993, pp. 850 to pp. 863.
William Rucklidge, "Efficient Computation of the Minimum Hausdorff Distance for Visual Recognition," Technical Report, Department of Computer Science Cornell University, Ithaca, New York, Sep. 1994, pp. 1 to pp. 169.
Jonathan J. Hull, "Document Image Matching and Retrieval With Multiple Distortion-Invariant Descriptors," International Association for Pattern Recognition Workshop on Document Analysis Systems, Series in Machine Perception and Artificial Intelligence, vol. 14, published by World Scientific Publishing Co. Pte. Ltd. 1995, pp. 379 to pp. 396.
A. Lawrence Spitz, "Skew Determination in CCITT Group 4 Compressed Document Images," pp. 11 to pp. 25 (last reference 1989).
Mehta Bhavesh
Patel Kanji
Ricoh Company Limited
Ricoh Corporation
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