Effect of Pixel’s Spatial Characteristics on Recognition of Isolated Pixelized Chinese Character

Kun Yang 1, *, Shuang Liu 1, Hong Wang 2, Wei Liu 1, Yaowei Wu 1
1 College of Quality and Technical Supervision, Hebei University, 180 Wusidong Road, Baoding, Hebei Province, Chi-na
2 College of Electronic Information Engineering Hebei University180 Wusidong Road, Baoding, Hebei Province, China

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© Yang et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the College of Quality and Technical Supervision, Hebei University, P.O. Box: 071002, Baoding, China; Tel: +86-1-521-016-1172; E-mail:


The influence of pixel’s spatial characteristics on recognition of isolated Chinese character was investigated using simulated prosthestic vision. The accuracy of Chinese character recognition with 4 kinds of pixel number (6*6, 8*8, 10*10, and 12*12 pixel array) and 3 kinds of pixel shape (Square, Dot and Gaussian) and different pixel spacing were tested through head-mounted display (HMD). A captured image of Chinese characters in font style of Hei were pixelized with Square, Dot and Gaussian pixel. Results showed that pixel number was the most important factor which could affect the recognition of isolated pixelized Chinese Chartars and the accuracy of recognition increased with the addition of pixel number. 10*10 pixel array could provide enough information for people to recognize an isolated Chinese character. At low resolution (6*6 and 8*8 pixel array), there were little difference of recognition accuracy between different pixel shape and different pixel spacing. While as for high resolution (10*10 and 12*12 pixel array), the fluctuation of pixel shape and pixel spacing could not affect the performance of recognition of isolated pixelized Chinese Character.

Keywords: Pixelized Chinese character, recognition, simulated prosthestic vision, spatial characteristics.