TY - GEN
T1 - A new type of recurrent neural network for handwritten character recognition
AU - Lee, Seong Whan
AU - Kim, Young Jaon
N1 - Funding Information:
This research was supported by the Directed Basic Research Fund of Korea Science and Engineering Foundation.
Publisher Copyright:
© 1995 IEEE.
PY - 1995
Y1 - 1995
N2 - In this paper, we propose a new type of recurrent neural network for handwritten character recognition. The proposed recurrent neural network differs from Jordan and Elman recurrent neural networks in mew of functions and architectures because it was originally extended from the multilayer feedforward neural network for improving discrimination and generalization power in recognizing handwritten characters. We also analyze the performance of the proposed recurrent neural network by performing recognition experiments with the totally unconstrained handwritten numeral database of Concordia University of Canada. The experimental results showed that the proposed recurrent neural network greatly improves the discrimination and generalization power.
AB - In this paper, we propose a new type of recurrent neural network for handwritten character recognition. The proposed recurrent neural network differs from Jordan and Elman recurrent neural networks in mew of functions and architectures because it was originally extended from the multilayer feedforward neural network for improving discrimination and generalization power in recognizing handwritten characters. We also analyze the performance of the proposed recurrent neural network by performing recognition experiments with the totally unconstrained handwritten numeral database of Concordia University of Canada. The experimental results showed that the proposed recurrent neural network greatly improves the discrimination and generalization power.
UR - http://www.scopus.com/inward/record.url?scp=85004175700&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.1995.598939
DO - 10.1109/ICDAR.1995.598939
M3 - Conference contribution
AN - SCOPUS:85004175700
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 38
EP - 41
BT - Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PB - IEEE Computer Society
T2 - 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Y2 - 14 August 1995 through 16 August 1995
ER -