Off-line Handwritten Character Recognition

碩士 === 淡江大學 === 電機工程學系研究所 === 86 === In this thesis , we propose a new scheme for off-line recognition of totallyun constrained handwritten characters using SOM/LVQ neural networks and extractio ngfeature vectors by kirsch masks method. In the learning phase, the SOM ne...

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Bibliographic Details
Main Authors: Chen, Ching-Yi, 陳慶逸
Other Authors: Ching-Tang Hsieh
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/78087161407572953101