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Font Recognition
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Font recognition (also called visual font recognition or optical font recognition) is the task of identifying the font family or families used in images containing text. Understanding which fonts are used in text may, for example, help designers find the right style, as well as help select an optical character recognition engine or model that is a better fit for certain texts.
논문
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MMR: Evaluating Reading Ability of Large Multimodal Models
Total Disentanglement of Font Images into Style and Character Class Features
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks
Combining OCR Models for Reading Early Modern Printed Books
HENet: Forcing a Network to Think More for Font Recognition
FONTNET: On-Device Font Understanding and Prediction Pipeline
Character-independent font identification
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
Learning Typographic Style
Studying Very Low Resolution Recognition Using Deep Networks
DeepFont: Identify Your Font from An Image
Real-World Font Recognition Using Deep Network and Domain Adaptation
Decomposition-Based Domain Adaptation for Real-World Font Recognition
Classifying Fonts and Calligraphy Styles Using Complex Wavelet Transform
Font Acknowledgment and Character Extraction of Digital and Scanned Images
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