SOTAVerified

Font Recognition

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.

Papers

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Showing 1–10 of 19 papers

TitleStatusHype
Texture or Semantics? Vision-Language Models Get Lost in Font RecognitionCode0
MMR: Evaluating Reading Ability of Large Multimodal Models—0
Total Disentanglement of Font Images into Style and Character Class Features—0
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural NetworksCode1
Combining OCR Models for Reading Early Modern Printed BooksCode0
HENet: Forcing a Network to Think More for Font RecognitionCode0
FONTNET: On-Device Font Understanding and Prediction Pipeline—0
Character-independent font identificationCode0
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection—0
Multi-Task Adversarial Network for Disentangled Feature Learning—0
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All datasetsAdobeVFR synAdobeVFR realVFR-WildExplor_allPersian Font Recognition (PFR)Persian Text Image Segmentation (PTI SEG)VFR-2420VFR-447

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1presisIOU5088.7—Unverified