Invention Grant
- Patent Title: Training a neural network model for recognizing handwritten signatures based on different cursive fonts and transformations
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Application No.: US16520899Application Date: 2019-07-24
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Publication No.: US11195172B2Publication Date: 2021-12-07
- Inventor: Reza Farivar , Fardin Abdi Taghi Abad , Anh Truong , Mark Watson , Austin Walters , Jeremy Goodsitt , Vincent Pham
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Harrity & Harrity, LLP
- Main IPC: G06Q20/38
- IPC: G06Q20/38 ; G06K9/62 ; G06N3/08 ; G06K9/00 ; G06N3/04

Abstract:
A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.
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