The skeletonization research of low-quality Chinese characters based on principal curves

Yang, Ming–Hsuan; Liao, Ziqi

doi:10.1109/icmlc.2009.5212775

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2011

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“…Generally, character skeleton plays a significant role in character recognition. The skeleton which reduces the computational complexity efficiently as well as keeps the topology and the geometric properties of the shape is the collection of the pixels past through the center of data cloud [3]. To the deformed CAPTCHAs, this feature is more robust and effective than a raster of pixels to the contour of the shape [4].…”

Section: Introductionmentioning

confidence: 99%

Skeletonization of Deformed CAPTCHAs Based on Pixel Depth

Cui

Liu

et al. 2011

AMR

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CAPTCHA is a security technology that presents test to tell computers and humans apart. Nowadays the most widely deployed CAPTCHAs are text-based schemes, which rely on sophisticated distortion of text images aimed at rendering them unrecognizable to the state of the art of pattern recognition methods. Generally, the skeletonization of character is acknowledged as one of the most significant part in character recognition. In this paper, a depth-based approach is proposed in order to locate the skeleton point. Experiments show that the depth-based skeletonization scheme is applicable to the widely used CAPTCHA images, and the skeleton is robust against rotated, distorted or conglutinated characters.

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Section: Introductionmentioning

confidence: 99%