Haptic Rendering for Chinese Characters Recognition

This paper explores new approaches to recognize Chinese characters in images through touch sense. We extract the gradient image fused with brightness and chrominance information by the flow-based Gauss difference algorithm, and use the edge tangential flow method to smooth image contour, to obtain s...

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Bibliographic Details
Published in2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) pp. 1239 - 1240
Main Authors Xinli Wu, Jiali Luo, Minxiong Zhang, Wenzhen Yang, Zhigeng Pan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Brightness
Character contour
Character recognition
Contour extraction
Feature extraction
Filtering
Force
Haptic interfaces
Haptic rendering
HCI
Image edge detection
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Summary:This paper explores new approaches to recognize Chinese characters in images through touch sense. We extract the gradient image fused with brightness and chrominance information by the flow-based Gauss difference algorithm, and use the edge tangential flow method to smooth image contour, to obtain smooth character contours with significant edge features. Then, we use a tactile generation algorithm with five mechanical elements to generate stable and continuous tactile information based on the normal vector of triangular patches of the surface. To verify the feasibility and effectiveness of the proposed methods, we developed a Chinese character tactile sensing system. Experiments show that Chinese characters in images can be recognized by touch sense with higher recognition accuracy rate.
ISSN:2642-5254
DOI:10.1109/VR.2019.8797984