Capturing the Captcha
| Autor: | Sethuraman Srinivas, Kamalanathan Kandasamy, Amit Dhar |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
CAPTCHA
Training set Information retrieval Computer science ComputingMilieux_PERSONALCOMPUTING Optical character recognition computer.software_genre Training (civil) Domain (software engineering) World Wide Web Set (abstract data type) ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Data set (IBM mainframe) Document Object Model computer |
| Zdroj: | Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing. |
| DOI: | 10.1145/2660859.2660935 |
| Popis: | Captchas are widely used nowadays by many websites to check whether the user is human or a bot trying to be harmful. Lot of research has been done in the area of captchas. Whether the research is about strengthening the captcha, breaking captchas or optical character recognition, a large and accurate training dataset is needed for better results. Most of the research with captchas has been using either a limited training data set or self generated data set. In this paper, we present a novel method of building a self updating domain specific training dataset for Captchas, that can be used in various areas of research and development. Our technique is not limited to a particular kind of captcha. We prevent the misuse of this training data set using API keys that are issued only to trusted institutions/organizations. We further prevent the misuse by validating the domains during access to all our APIs. |
| Databáze: | OpenAIRE |
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