Invention Grant
- Patent Title: Font recognition using triplet loss neural network training
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Application No.: US15796213Application Date: 2017-10-27
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Publication No.: US10515295B2Publication Date: 2019-12-24
- Inventor: Yang Liu , Zhaowen Wang , Hailin Jin
- Applicant: Adobe Inc.
- Applicant Address: US CA San Josec
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Josec
- Agency: Keller Jolley Preece
- Main IPC: G06K9/68
- IPC: G06K9/68 ; G06K9/66 ; G06K9/62

Abstract:
The present disclosure relates to a font recognition system that employs a multi-task learning framework to jointly improve font classification and remove negative side effects caused by intra-class variances of glyph content. For example, in one or more embodiments, the font recognition system can jointly train a font recognition neural network using a font classification loss model and triplet loss model to generate a deep learning neural network that provides improved font classifications. In addition, the font recognition system can employ the trained font recognition neural network to efficiently recognize fonts within input images as well as provide other suggested fonts.
Public/Granted literature
- US20190130231A1 FONT RECOGNITION USING TRIPLET LOSS NEURAL NETWORK TRAINING Public/Granted day:2019-05-02
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