Document identification by characteristics matching

Details Document identification by characteristics matching Document identification by characteristics matching

1989-05-31

1992-10-27

Hecker, Stuart N.

395934, G09C 100, G01L 106

Patent

active

051596679

ABSTRACT:
This invention relates to an automatic identification method for scanned documents in an electronic document capture and storage system. The invention uses the technique of recognition of global document features compared to a knowledge base of known document types. The system first segments the digitized image of a document into physical and logical areas of significance and attempts to label these areas by determining the type of information they contain, without using OCR techniques. The system then attempts to match the areas segmented to objects described in the knowledge base. The system labels the areas successfully matched then selects the most probable document type based on the areas found within the document. Using computer learning methods, the system is capable of improving its knowledge of the documents it is supposed to recognize, by dynamically modifying the characteristics of its knowledge base thus sharpening its decision making capability.

REFERENCES:
patent: 4633507 (1986-12-01), Cannistra et al.
patent: 4831447 (1989-05-01), Lake, Jr.
patent: 4835690 (1989-05-01), Gangarosa et al.
patent: 4866784 (1989-09-01), Barski
patent: 4881178 (1989-11-01), Holland et al.
patent: 4965763 (1990-10-01), Zamora
Nazif, Ahmed M. et al. "Low Level Image Segmentation: An Expert System", IEEE Trans. on PAMI, vol. PAMI-6, No. 5, pp. 555-577.
Matsuyama, Takashi, "Expert Systems for Imgage Processing: Knowledge-Based . . . Processes", Computer Vision, Graphics and Images Proc., 48:22-49 (1989).
Thonnat, M. et al., "An expert system for automatic classification and desc. of zooplanktons from monocular images", 9th Internl. Conf. on Pattern Recognition, 14-17 Nov. 1988, pp. 114-118.

Affiliated with

Also associated with

Rating

Document identification by characteristics matching does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Document identification by characteristics matching, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Document identification by characteristics matching will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-911889