Feb. 9, 2024, 5:43 a.m. | Vaibhav Khatavkar Makarand Velankar Sneha Petkar

cs.LG updates on arXiv.org arxiv.org

Captcha are widely used to secure systems from automatic responses by distinguishing computer responses from human responses. Text, audio, video, picture picture-based Optical Character Recognition (OCR) are used for creating captcha. Text-based OCR captcha are the most often used captcha which faces issues namely, complex and distorted contents. There are attempts to build captcha detection and classification-based systems using machine learning and neural networks, which need to be tuned for accuracy. The existing systems face challenges in the recognition of …

audio captcha character recognition classification computer contents cs.cr cs.cv cs.lg free human loss ocr optical optical character recognition recognition responses segmentation systems temporal text video

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior ML Engineer

@ Carousell Group | Ho Chi Minh City, Vietnam

Data and Insight Analyst

@ Cotiviti | Remote, United States