Invention Grant
- Patent Title: Image segmentation in optical character recognition using neural networks
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Application No.: US15174926Application Date: 2016-06-06
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Publication No.: US09646230B1Publication Date: 2017-05-09
- Inventor: David Prulhiere , Terence Bonita
- Applicant: David Prulhiere
- Applicant Address: US OR Grants Pass
- Assignee: David Prulhiere
- Current Assignee: David Prulhiere
- Current Assignee Address: US OR Grants Pass
- Agency: Klarquist Sparkman, LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/66 ; G06T7/00 ; G06K9/62 ; G06K9/18 ; G06K9/46

Abstract:
Neural-network-based image segmentation techniques are provided herein. An input image that includes a plurality of characters can be received. Boundaries between the characters can be identified using a trained neural network. The input image can be segmented along the boundaries identified between the characters. The neural network can be trained using a training image and a training target vector. The training target vector can indicate one or more boundaries between characters in the training image. Neural-network-based segmentation can be used alone or in conjunction with other segmentation techniques to improve overall segmentation accuracy.
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