Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/1702
Title: Breaking down captcha using edge corners and fuzzy logic segmentation/recognition technique
Authors: Nachar, Rabih 
Inaty, Elie 
Bonnin, Patrick J
Alayli, Yasser
Affiliations: Department of Telecommunications and Networking Engineering 
Department of Electrical Engineering 
Issue Date: 2015
Part of: Wiley journal of security and communication networks
Volume: 8
Issue: 18
Start page: 3995
End page: 4012
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.
URI: https://scholarhub.balamand.edu.lb/handle/uob/1702
DOI: 10.1002/sec.1316
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Telecommunications and Networking Engineering

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