Analysis of class separation and combination of class-dependent features for handwriting recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 21, Issue 10, 1999, Pages 1089-1094

  Oh, I I Seok ^a   Lee, Jin Seon ^b   Suen, Ching Y ^c  

^a Chonbuk National University   (South Korea)

^b Woosuk University   (South Korea)

^c Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Class separation; Class dependent feature combination; Handwriting recognition; Modular neural network; Nonparametric method

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; VECTORS;

CLASS DEPENDENT FEATURE COMBINATION; CLASS SEPARATION; HANDWRITING RECOGNITION; IMAGE ANALYSIS; MODULAR NEURAL NETWORK; NONPARAMETRIC METHOD;

PATTERN RECOGNITION;

EID: 0033211104     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.799913     Document Type: Article

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