A Hybrid Approach to Detect and Recognize Texts in Images

Abstract

Text data present in images serves important information which is helpful for different applications. Locating text in case of variation in style, color, as well as complex image background makes text reading from images challenging. Here new framework is explored which can automatically detect and localization and recognize aligned text from CAPTCHA images. In this paper ,a hybrid approach to detect and recognize texts in CAPTCHA images is introduced. Through this approach the strength of CAPTCHA can be checked. This proposed method successfully detects and recognizes the text with a low false positive.

Authors and Affiliations

Miss. Poonam B. Kadam, Mrs. Latika R. Desai

Keywords

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  • EP ID EP27599
  • DOI -
  • Views 313
  • Downloads 3

How To Cite

Miss. Poonam B. Kadam, Mrs. Latika R. Desai (2013). A Hybrid Approach to Detect and Recognize Texts in Images. International Journal of Research in Computer and Communication Technology, 2(7), -. https://europub.co.uk/articles/-A-27599