CASIA OpenIR  > 09年以前成果
Normalization-cooperated gradient feature extraction for handwritten character recognition
Liu, Cheng-Lin
Source PublicationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2007-08-01
Volume29Issue:8Pages:1465-1469
SubtypeArticle
AbstractThe gradient direction histogram feature has shown superior performance in character recognition. To alleviate the effect of stroke direction distortion caused by shape normalization and provide higher recognition accuracies, we propose a new feature extraction approach, called normalization-cooperated gradient feature (NCGF) extraction, which maps the gradient direction elements of original image to direction planes without generating the normalized image and can be combined with various normalization methods. Experiments on handwritten Japanese and Chinese character databases show that, compared to normalization-based gradient feature, the NCGF reduces the recognition error rate by factors ranging from 8.63 percent to 14.97 percent with high confidence of significance when combined with pseudo-two-dimensional normalization.
KeywordCharacter Recognition Feature Extraction Normalization-cooperated Gradient Feature (Ncgf)
WOS HeadingsScience & Technology ; Technology
WOS KeywordDIGIT RECOGNITION
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000247186500013
Citation statistics
Cited Times:69[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9507
Collection09年以前成果
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Liu, Cheng-Lin. Normalization-cooperated gradient feature extraction for handwritten character recognition[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2007,29(8):1465-1469.
APA Liu, Cheng-Lin.(2007).Normalization-cooperated gradient feature extraction for handwritten character recognition.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,29(8),1465-1469.
MLA Liu, Cheng-Lin."Normalization-cooperated gradient feature extraction for handwritten character recognition".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 29.8(2007):1465-1469.
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