Automatic Captcha Recognition Technology Based on AI

Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is doing an phenomenal critical object for safeguarding online systems from automated bots and ensuring user authentication. With advancements in Artificial Intelligence (AI), captcha recognition technology has undergone significant transformation, allowing automated systems to decipher even highly complex captcha formats with remarkable accuracy. This paper dives onto application of AI methodologies, with addition of Convolutional Neural Networks (CNNs) for effective captcha solving. Through the use of various advanced algorithms, AI systems excel in tasks such as text recognition, segmentation, and noise reduction, addressing traditional challenges like distortion and visual clutter. The study also evaluates the associated security risks, ethical considerations, and potential counterstrategies to strengthen system defenses.

Authors

Publication Details

Journal
International Journal of Innovative Research in Advanced Engineering
Published
2024-12-13
DOI
https://doi.org/10.26562/ijirae.2024.v1112.01
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic Captcha Recognition Technology Based on AI

Vishal Verma, Dipansu Sahu, Utkarsh Singh, Vidya Shree Bharti et al.
International Journal of Innovative Research in Advanced Engineering
Blockchain Technology Applications and Security
article

Automatic Captcha Recognition Technology Based on AI

Vishal Verma, Dipansu Sahu, Utkarsh Singh, Vidya Shree Bharti, Pawan Kumar Mishra, Yash Raj, Dr.Vikas Singhal
article en

Abstract

Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is doing an phenomenal critical object for safeguarding online systems from automated bots and ensuring user authentication. With advancements in Artificial Intelligence (AI), captcha recognition technology has undergone significant transformation, allowing automated systems to decipher even highly complex captcha formats with remarkable accuracy. This paper dives onto application of AI methodologies, with addition of Convolutional Neural Networks (CNNs) for effective captcha solving. Through the use of various advanced algorithms, AI systems excel in tasks such as text recognition, segmentation, and noise reduction, addressing traditional challenges like distortion and visual clutter. The study also evaluates the associated security risks, ethical considerations, and potential counterstrategies to strengthen system defenses.

International Journal of Innovative Research in Advanced EngineeringVol. 11(12)
Peace, Justice and strong institutions
Openalex Percentile: Top 64%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.