Title
Breaking down Captcha using edge corners and fuzzy logic segmentation/recognition technique
Abstract
CAPTCHA is a security technique to allow a computer application to distinguish between computer and human access. Most of now a day CAPTCHA words have their characters connected together which makes them very difficult to be segmented and recognized. In this paper we present an efficient technique that first benefits from the intersections between characters in a word and then segment it based on the recognition of each segmented character. Edge corners ECs are used in both segmentation and recognition phases. A novel fuzzy logic-based scheme is proposed to match characters using their ECs. Experimental results show the efficiency of the proposed scheme in terms of success rate using a large set of CAPTCHA's words. Copyright © 2015 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/sec.1316
Security and Communication Networks
Keywords
Field
DocType
CAPTCHA,security technique,segmentation,recognition,edge dominant corners,fuzzy logic
Computer vision,Computer science,Segmentation,Fuzzy logic,Artificial intelligence,CAPTCHA
Journal
Volume
Issue
ISSN
8
18
1939-0114
Citations 
PageRank 
References 
2
0.42
21
Authors
4
Name
Order
Citations
PageRank
Rabih Al Nachar1122.70
Elie Inaty23411.97
Patrick J. Bonnin371.95
Y. Alayli4174.07