Invention Grant
- Patent Title: Method for identifying non-exactly matching text
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Application No.: US16877743Application Date: 2020-05-19
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Publication No.: US10824809B2Publication Date: 2020-11-03
- Inventor: Melissa Kutsch , Jessica Moran , Brian Amend , Sean Glerum
- Applicant: Bottomline Technologies (de) Inc.
- Applicant Address: US NH Portsmouth
- Assignee: Bottomline Technologies (de), Inc.
- Current Assignee: Bottomline Technologies (de), Inc.
- Current Assignee Address: US NH Portsmouth
- Agent Richard A. Baker, Jr.
- Main IPC: G06F40/289
- IPC: G06F40/289 ; G06F40/166 ; G06F40/189 ; G06F40/194 ; G06F40/232 ; G06K9/00

Abstract:
A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
Public/Granted literature
- US20200279076A1 Method for Identifying Non-exactly Matching Text Public/Granted day:2020-09-03
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