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A new CAPTCHA for mobile phone by drawing the native characters with stroke order checking

IP.com Disclosure Number: IPCOM000236157D
Publication Date: 2014-Apr-10
Document File: 4 page(s) / 66K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a new CAPTCHA method for mobile phone by drawing the native characters with stroke order checking. This method can solve the high CAPTCHA failure rates problems due to small screen size on mobile devices, and also keep higher security strength by checking stroke order. Besides, the CAPTCHA characters will be determined by user's locale to make user easily answer the questions. In summary, the new CAPTCHA system will have these advantages: easy typing, easy to answer, and high security strength.

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A new CAPTCHA for mobile phone by drawing the native characters with stroke order checking

CAPTCHA is a method to distinguish human from computer. Currently, most of the CAPTCHA is providing visual strings for human to input the answer. However, in mobile phone, the screen is small and the typo rate is much higher than using computer. Because of the mobile drawbacks, users will easily fail the CAPTCHA question. In the end, the user will leave the site and the potential customer will be gone.

Current market saturated with touch screen devices.
Small screens and cram keypads are prevalent problems associated with such devices, making typing and

words/character recognition difficult for end-users.

The current CAPTCHA system, requires end-users to key in letters, symbols, number etc. which users see or heard on their screens, magnifies the weakness of the such touch screen devices and hampering end-users online experience.

Come up with a CAPTCHA that:

Aids touch screen end-users when the need arises for them to confirm their human identity on secured websites .

Provide native string CAPTCHA for different geographic setting.

The solution is proposed for user to easily pass CAPTCHA challenge and still keep the security capability. The solution is to provide a visual localized character based on the user's profile or preference. After getting the string, user answers it by drawing the string on mobile screen then send to server. After getting the answer, server will check if the input is correct base on...