DocumentCode
3246505
Title
An improved maze algorithm in contour extraction of CAPTCHAs
Author
Jialin Liu ; Kaifa Liang ; Shuangping Chen
Author_Institution
Zhuhai Coll., Jinan Univ., Jinan, China
fYear
2010
fDate
20-21 Oct. 2010
Firstpage
16
Lastpage
19
Abstract
An improved maze algorithm has been first advanced, combining with the rotation invariant theory, to extract the contour of CAPTCHAs which are slant and have random positions. First, take the CAPTCHAs as a maze, in which white pixels represents a potential route; Second, search towards “left-down” in the predefined direction and record the pixels which have been checked; Finally, get the clockwise rotate projection of CAPTCHAs within the paths´ closed region in order to obtain the CAPTCHAs´ contour features which are immune to rotation, random position, slant and other factors. Experiments have shown that the algorithm has better performance in dealing with CAPTCHAs which are slant and have random positions, its sufficient extraction of contour features reduces errors and improves recognition rate.
Keywords
edge detection; CAPTCHA; clockwise rotate projection; contour extraction; maze algorithm; rotation invariant theory; Image segmentation; CAPTCHAs; Contour; Maze Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8004-3
Type
conf
DOI
10.1109/KAM.2010.5646230
Filename
5646230
Link To Document