Recognition of writers by handwriting images

作者:

Highlights:

摘要

The objective of this paper is the automatic identification of individual persons by means of their handwriting images. The image, digitized by a computer-controlled TV-camera, is analyzed in two different ways. In terms of the writing process, it is first interpreted as a set of lines, which have to be reconstructed by methods of scene analysis.Secondly, a special non-linear transformation is applied to the image, which provides features representing global statistical information about the image. In a classification experiment involving 20 writers (40 samples of each), 797 out of 800 samples were identified correctly.

论文关键词:Handwriting,Writer recognition,Transformation,Recognition experiments,Polynomial fit

论文评审过程:Received 9 January 1980, Revised 18 June 1980, Accepted 22 December 1980, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(81)90080-7