Tôi đang làm luận văn cần 2 tài liệu có trên IEEE. Nhờ các anh chị download giúp và gửi vào địa chỉ:
nguyenlehungk1a@yahoo.com. Cảm ơn các anh chị nhiều:
Bài 1:
A new type of recurrent neural network for handwritten character recognition
Seong-Whan Lee; Young-Joon Kim
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Volume: 1 14-16 Aug 1995
Page(s): 38-41 vol.1
Digital Object Identifier 10.1109/ICDAR.1995.598939
Summary: The authors 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 view of functions and architectures because it was orig.....
http://ieeexplore.ieee.org/iel3/4755...isnumber=13183
Bài 2:
A feature for character recognition based on directional distancedistributions
Il-Seok Oh; Suen, C.Y.
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Volume 1, Issue , 18-20 Aug 1997 Page(s):288 - 292 vol.1
Digital Object Identifier 10.1109/ICDAR.1997.619858
Summary:The performance of a character recognition system depends heavily on what features are being used. Though many kinds of features have been developed and their test performances on a standard database have been reported, there is still room to improve the recognition rate by developing an improved feature. The authors propose a new feature based on DDD (directional distance distribution) information. This new concept regards the input pattern array as being circular. It also contains very rich information by encoding in one representation both the white/black distribution and the directional distance distribution. A test performed on the CENPARMI handwritten numeral database showed a promising result of 97.3% recognition with a neural network classifier using the DDD feature
http://ieeexplore.ieee.org/Xplore/lo...rnumber=601943