A Prototypical Network-Based Approach for Low-Resource Font Typeface Feature Extraction and Utilization

A Prototypical Network-Based Approach for Low-Resource Font Typeface Feature Extraction and Utilization

This paper introduces a framework for retrieving low-resource font typeface databases by handwritten input. A new deep learning model structure based on metric learning is proposed to extract the features of a character typeface and predict the category of handwrittten input queries. Rather than usi...

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Bibliographic Details
Main Authors: Kangying Li, Biligsaikhan Batjargal, Akira Maeda
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Data
Subjects:
feature fusion
metric learning
low-resource data
Online Access:https://www.mdpi.com/2306-5729/6/12/134

Internet

https://www.mdpi.com/2306-5729/6/12/134

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