Invention Grant
- Patent Title: Unsupervised removal of text from images using linear programming for optimal filter design
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Application No.: US15796678Application Date: 2017-10-27
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Publication No.: US10657369B1Publication Date: 2020-05-19
- Inventor: Diane Chang , Rohan Kekatpure
- Applicant: INTUIT INC.
- Applicant Address: US CA Mountain View
- Assignee: INTUIT, INC.
- Current Assignee: INTUIT, INC.
- Current Assignee Address: US CA Mountain View
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06T5/10

Abstract:
Techniques are disclosed for removing text from an image of a form document. The text is removed by determining a spectral domain representation of the image and applying a filter to remove the high-frequency components which correspond to the text in the form. An image is reconstructed from the filtered spectral domain representation which maintains the low-frequency components, while deemphasizing or removing the high-frequency components. A shape of the filter applied to the spectral domain representation is determined based on a similarity measure between the image of the form and the reconstructed image.
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