On-line and off-line signature verification using relative slope algorithm

被引：0
|
作者：
Madabusi, S [1 ]
Srinivas, V [1 ]
Bhaskaran, S [1 ]
Balasubramanian, M [1 ]
机构：
[1] Anna Univ, Sri Venkateswara Coll Engn, Dept Informat Technol, Sriperumbudur 602105, Tamil Nadu, India
来源：
2005 IEEE INTERNATIONAL WORKSHOP ON MEASUREMENT SYSTEMS FOR HOMELAND SECURITY, CONTRABAND DETECTION & PERSONAL SAFETY | 2005年
关键词：
slope based algorithm; segmentation; normalization; optimized HMM; pattern recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel RELATIVE SLOPE BASED algorithm for online and online signature verification system capable of effectively establishing air individuals identity based solely on their handwriting characteristics. Current technologies in signature Verification systems use various algorithms for Feature point extraction, Regression approach. Markov method, Split and merge card genetic algorithms. We have porposed a slope based model, in which tire input signature is divided into many segments using optimized HMM method, their the slope of every segment is calculated with respect to its previous segment. obtained after normalizaion of the signature. This feature of each segment is stored along with the two tier time metric information, which ensures lesser overhead with better performance while processing.
引用
收藏
页码：11 / 15
页数：5
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