DocumentCode :
1783793
Title :
A Study on Captcha Recognition
Author :
Chii-Jen Chen ; You Wei ; Wen-Pinn Fang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Yuanpei Univ., Hsinchu, Taiwan
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
395
Lastpage :
398
Abstract :
Through most of captcha images all said that their system can defense the external attacking, many corresponding researches are still presented to examine the captcha systems in the current internet platforms. The safety of captcha image can be decided by the complexity of imaging structures. Therefore, different captcha recognition methods are proposed to apply into different captcha images. In this study, there are many noisy lines and points in our testing captcha cases. We proposed the probability pattern framework to recognize the target numbers in the captcha images. In the experiment, the quantitative assessment shows that the proposed recognition method achieved an average of 81.05% for more than two thousand captcha cases.
Keywords :
Internet; image recognition; probability; security of data; Internet platforms; captcha images; captcha recognition; captcha systems; probability pattern framework; Adaptive filters; CAPTCHAs; Image recognition; Noise; Pattern recognition; Security; captcha; image processing; probability; recognition; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.105
Filename :
6998351
Link To Document :
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