The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 18, 2022

Filed:

Sep. 30, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Rishita Rajal Anubhai, Seattle, WA (US);

Sravan Babu Bodapati, Bellevue, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); G06F 16/583 (2019.01); G06F 21/14 (2013.01); G06F 16/58 (2019.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06F 16/5862 (2019.01); G06F 16/5866 (2019.01); G06F 21/14 (2013.01); G06K 9/325 (2013.01); G06K 9/6218 (2013.01);
Abstract

Techniques are described for a de-obfuscation framework that utilizes image recognition of text. A word input by a user is received by the de-obfuscation service. Visual feature data associated with an image corresponding to each character of the word is generated. Word embeddings are generated using the visual feature data and each character of the word using a character encoder layer. Feature vectors are generated from the word embedding by combining the generated word embeddings and a provided word embedding using a second neural network. The generated feature vector is classified. Potential text obfuscation is detected from the classified generated feature vector using a lexicon to determine de-obfuscated text closet to the user text.


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