On a higher-order neural network for distortion invariant pattern recognition

Authors:
Takeshi Kaita;Shingo Tomita;Junkichi Yamanaka
Affiliations:
Information Science and Technology Department, Oshima National College of Maritime Technology, Oshima-town, Oshima-district, Yamaguchi 742-2193, Japan;The Faculty of Music and Mediaarts, Department of Humanitic Information, Shobi University, Kawagoe-city, Saitama 350-1153, Japan;Information Science and Technology Department, Oshima National College of Maritime Technology, Oshima-town, Oshima-district, Yamaguchi 742-2193, Japan
Venue:
Pattern Recognition Letters
Year:
2002

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Abstract

This paper proposed some methods upon a second-order neural network. These networks apply the normalized frequency distribution of distance between two points on an object. 0.766 of the recognition accuracy for 2D two-class mixture distributions and 0.960 for hand-written characters are achieved.