×

Character-recognition systems and methods with means to measure endpoint features in character bit-maps

  • US 5,359,671 A
  • Filed: 03/31/1992
  • Issued: 10/25/1994
  • Est. Priority Date: 03/31/1992
  • Status: Expired due to Term
First Claim
Patent Images

1. A character recognition system that identifies an input character as being a unique member of a defined character set, said system comprising:

  • a bit-map means for generating a character bit-map of an input character;

    a character recognition means for processing said character bit-map and generating a set of (M) finite confidence measures one for each of (M) members of said character set, said confidence measures representing the degree of confidence that said input character corresponds to each of said (M) members of said character set;

    a decision means for deciding if the confidence measure with the highest degree of confidence is an acceptable confidence measure;

    a first output means for reporting as an output character the member of said character set with said acceptable confidence measure;

    an augment means for identifying (N) of said (M) members with the (N) highest confidence measures, where (M) is greater than (N), and processing said bit-map if said decision means decides that there is no acceptable confidence measure, said augment means having a measuring means for measuring stroke endpoint locations and orientations of said bit-map and a second output means for reporting one of said (N) members as an output character based on said stroke endpoint locations and orientations; and

    wherein said augment means further comprises a database means having a database of character strings, each said character string including a subset of said character set and wherein the members of each said subset represent different characters in said character set which have common stroke endpoint locations and orientations.

View all claims
  • 2 Assignments
Timeline View
Assignment View
    ×
    ×