title: Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem.
abstract: A comparison is made of two techniques for recognizing numeric handprint characters using a variety of features including 2D fast Fourier transform coefficients, geometrical moments, and topological features. A backpropagation network and a nearest neighbor classifier are evaluated in terms of recognition performance and computational requirements. The results indicate that for complex problems, the neural network performs comparably to the nearest-neighbor classifier while being significantly more cost effective.
authors.affiliation: Voice Control Syst., Dallas, TX.
authors.forename: W E
authors.initials: WE
authors.lastname: Weideman
authors.forename: M T
authors.initials: MT
authors.lastname: Manry
authors.forename: H C
authors.initials: HC
authors.lastname: Yau
authors.forename: W
authors.initials: W
authors.lastname: Gong