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 :
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