ANALYSIS OF PERSONAL INFORMATION IN HANDWRITTEN CHARACTERS, AND AUTOMATIC WRITER RECOGNITION USING A SPECTRAL RESOLUTION TECHNIQUE.

被引：0
|
作者：
Shakunaga, Takeshi [1 ]
Kaneko, Hiroshi [1 ]
Yodogawa, Eiji [1 ]
机构：
[1] NTT, Data Communication Basic, Research Div, Tokyo, Jpn, NTT, Data Communication Basic Research Div, Tokyo, Jpn
来源：
Denki Tsushin Kenkyujo kenkyu jitsuyoka hokoku | 1985年 / 34卷 / 01期
关键词：
COMPUTER PROGRAMMING - Algorithms - SPECTRUM ANALYSIS;
D O I：
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学科分类号：
摘要：
This paper proposes application of a new spectral resolution technique of 2nd order statistics for the purpose of extracting personal information from handwritten characters. This resolution technique was formulated based on a textural analysis viewpoint, and put to use for automatic writer recognition. Three algorithms were developed for text-independent identification, text-dependent identification and text-dependent verification. Experiments with five characters regarding text-dependent writer identification show that the identification rate is 99. 979% for 30 persons. Moreover, in verification experiments, false acceptance was only 0. 0034% when false rejection was 5. 2% for 29 registrants and five characters.
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页码：35 / 46
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