Background Feature Descriptor for Offline Handwritten Numeral Recognition
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.
Numeral recognition Characters segmentation Optical character recognition (OCR) Background feature descriptor Sixteen-value transformation
Delie Ming Hao Wang Tian Tian Feiran Jie Bo Lei
State Key Laboratory for Multi-spectral Information Processing Technology, Institute for PatternReco Sci. & Tech. on Electro-optic Control Laboratory, 25 Kaixuan west Road, Luoyang, Henan,P.R.China 471 Sci. & Tech. on Electro-optic Control Laboratory, 25 Kaixuan west Road, Luoyang, Henan, P.R.China 47
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）