Background feature descriptor for offline handwritten numeral recognition

Delie Ming; Hao Wang; Tian Tian; Feiran Jie; Bo Lei

doi:10.1117/12.921098

2 December 2011 Background feature descriptor for offline handwritten numeral recognition

Delie Ming, Hao Wang, Tian Tian, Feiran Jie, Bo Lei

Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80041N (2011) https://doi.org/10.1117/12.921098
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

This paper puts forward an offline handwritten numeral recognition method based on background structural descriptor (sixteen-value numerical background expression). Through encoding the background pixels in the image according to a certain rule, 16 different eigenvalues were generated, which reflected the background condition of every digit, then reflected the structural features of the digits. Through pattern language description of images by these features, automatic segmentation of overlapping digits and numeral recognition can be realized. This method is characterized by great deformation resistant ability, high recognition speed and easy realization. Finally, the experimental results and conclusions are presented. The experimental results of recognizing datasets from various practical application fields reflect that with this method, a good recognition effect can be achieved.

Citation Download Citation

Delie Ming, Hao Wang, Tian Tian, Feiran Jie, and Bo Lei "Background feature descriptor for offline handwritten numeral recognition", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80041N (2 December 2011); https://doi.org/10.1117/12.921098

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