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Hierarchical constrained automatic learning neural network for character recognition

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06K-009/62
출원번호 US-0444455 (1989-11-30)
발명자 / 주소
  • Denker John S. (Leonardo NJ) Howard Richard E. (Highland Park NJ) Jackel Lawrence D. (Holmdel NJ) LeCun Yann (Middletown NJ)
출원인 / 주소
  • AT&T Bell Laboratories (Murray Hill NJ 02)
인용정보 피인용 횟수 : 92  인용 특허 : 0

초록

Highly accurate, reliable optical character recognition is afforded by a layered network having several layers of constrained feature detection wherein each layer of constrained feature detection includes a plurality of constrained feature maps and a corresponding plurality of feature reduction maps

대표청구항

A massively parallel computation network for character recognition of an image map having a plurality of image units, said network comprising first and second feature detection layer means wherein each of said feature detection layer means includes a plurality of constrained feature maps and a corre

이 특허를 인용한 특허 (92)

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