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Multiresolution locally expanded HONN for handwritten numeral recognition
Liu, CL; Kim, JH; Dai, RW
AbstractIn this paper, we propose a neural network architecture, multiresolution locally expanded high order neural network (MRLHONN) to solve the problem of handwritten numeral recognition. In this recognition scheme, the multiresolution representation of character image is input into a high order neural network (HONN), while in each resolution, only neighboring pixels are expanded to produce high order input. The property of this architecture is that, the local expansion alleviate the problem of large connecting weight set, and the multiresolution representation remedy the inadequacy of local expansion. Two forms of multiresolution representations, quadtree representation and Gaussian pyramid, were used in experiments. The recognition results demonstrate the efficiency of the proposed architecture. (C) 1997 Elsevier Science B.V.
KeywordHandwritten Numeral Recognition High Order Neural Network Local Expansion Multiresolution Representation
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000071648900007
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Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Korea Adv Inst Sci & Technol, Dept Comp Sci, Taejon 305701, South Korea
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Liu, CL,Kim, JH,Dai, RW. Multiresolution locally expanded HONN for handwritten numeral recognition[J]. PATTERN RECOGNITION LETTERS,1997,18(10):1019-1025.
APA Liu, CL,Kim, JH,&Dai, RW.(1997).Multiresolution locally expanded HONN for handwritten numeral recognition.PATTERN RECOGNITION LETTERS,18(10),1019-1025.
MLA Liu, CL,et al."Multiresolution locally expanded HONN for handwritten numeral recognition".PATTERN RECOGNITION LETTERS 18.10(1997):1019-1025.
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