The interpersonal and intrapersonal variability influences on off-line signature verification using HMM

被引：10

作者：

Justino, EJR ^{[1
]}

Bortolozzi, F ^{[1
]}

Sabourin, R ^{[1
]}

机构：

[1] PUCPR, Curitiba, Parana, Brazil

来源：

SIBGRAPI 2002: XV BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/SIBGRA.2002.1167143

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The off-line signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability. This kind of distortion represents the intrapersonal variability [3]. This paper reports the interpersonal and intrapersonal variability influences in a software approach based on Hidden Markov Model (HMM) classifier [1,5,7]. The experiments have shown the error rates variability considering different forgery types, random, simples and skilled forgeries. The mathematical approach and the resulting software also report considerations in a real application problem.

引用

页码：197 / 202

页数：6

共 9 条

[1] AUTOMATIC THRESHOLDING OF GRAY-LEVEL PICTURES USING TWO-DIMENSIONAL ENTROPY [J].