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Survey Paper on Captcha Using Different Methods And Techniques

机译:使用不同方法和技术的验证码调查文件

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The internet has been enjoying associate more and more vital role in our way of life, with the supply of the many web services comparable to email and search engines. CAPTCHA (Completely machine driven Public Turing take a look at to inform Computers and Humans Apart) was developed to tell apart between pc programs and human users that was initialized in 1997 and was developed in 2000.The development of CAPTCHA system is to supply artistic and validation tests that may be simply resolved by humans and tough for robot. There area unit four forms of strategies in development CAPTCHA that is that the text primarily based CAPTCHA, CAPTCHA supported image, CAPTCHA based audio and video {based mostly primarily based} CAPTCHA .This type of CAPTCHA had developed by mistreatment markup language, JavaScript / J question and Cascading vogue Sheets (CSS).Every CAPTCHA have its own techniques to supply security.. This paper presents a survey of Optical Character Recognition applications and more focuses on 3 important applications of Optical Character Recognition..
机译:互联网在我们的生活方式中正扮演着越来越重要的角色,与电子邮件和搜索引擎相比,互联网提供了许多网络服务。 CAPTCHA(完全由机器驱动的Public Turing看一下,以告知计算机和人类以外)是为了区分PC程序和人类用户而开发的,该程序于1997年初始化,并于2000年开发。CAPTCHA系统的开发旨在提供艺术和验证测试可以由人简单地解决,对机器人来说则很困难。开发CAPTCHA的区域单元有四种策略形式,即主要基于文本的CAPTCHA,支持CAPTCHA的图像,基于CAPTCHA的音频和视频{主要基于主要的} CAPTCHA。这种CAPTCHA是通过滥用标记语言JavaScript / J开发的每个CAPTCHA都有其自身的技术来提供安全性。本文介绍了光学字符识别应用的概况,重点研究了光学字符识别的3个重要应用。

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