FEGAN: A High-Performance Font Enhancement Network for Text CAPTCHA Preprocessing
This study aims to address performance deficiencies in CAPTCHA preprocessing methods that impede the accurate recognition of text CAPTCHAs, which are crucial for identifying security vulnerabilities. To improve CAPTCHA preprocessing methods, a similar font is initially searched and acquired by manua...
發表在: | INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION |
---|---|
Main Authors: | Wan, Xing; Ruslan, Fazlina Ahmat; Johari, Juliana |
格式: | Article; Early Access |
語言: | English |
出版: |
TAIWAN ASSOC ENGINEERING & TECHNOLOGY INNOVATION
2025
|
主題: | |
在線閱讀: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001447757700001 |
相似書籍
-
Variational Color Shift and Auto-Encoder Based on Large Separable Kernel Attention for Enhanced Text CAPTCHA Vulnerability Assessment
由: Wan X.; Johari J.; Ruslan F.A.
出版: (2024) -
Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks
由: 2-s2.0-85197265040
出版: (2024) -
Performance evaluation of generative adversarial networks for generating mugshot images from text description
由: 2-s2.0-85186246281
出版: (2024) -
Feasibility of text visualization in text steganalysis
由: Ab. Rauf R.H.; Jamal N.
出版: (2014) -
Eye-to-text communication via advanced optimization techniques and artificial neural networks: Review
由: Abbas M.R.; Mutlag A.H.; Gharghan S.K.; Jailani R.
出版: (2024)