Using complex networks for offline handwritten signature characterization

César Armando Beltrán Castañón, Ronald Juárez Chambi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


This paper develops a novel way for offline handwritten signature characterization using a complex networks approach in order to apply for signature verification and identification process. Complex networks can be considered among the areas of graph theory and statistical mechanics. They are suitable for shape recognition due to their properties as invariance to rotation, scale, thickness and noise. Offline signatures images were pre-processed to obtain a skeletonized version. This is represented as an adjacency matrix where there are applied degree descriptors and dynamic evolution property of complex networks in order to generate the feature vector of offline signatures. We used a database composed of 960 offline signatures groups; every group corresponds to one person with 24 genuine and 30 forged signatures. We obtained a true rate of 85.12% for identification and 76.11% for verification. With our proposal it is demonstrated that complex networks provide a promising methodology for the process of identification and verification of offline handwritten signatures and it could be used in applications like document validation.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition Image Analysis, Computer Vision and Applications - 19th Iberoamerican Congress, CIARP 2014, Proceedings
EditorsEduardo Bayro-Corrochano, Edwin Hancock
PublisherSpringer Verlag
Number of pages8
ISBN (Electronic)9783319125671
StatePublished - 2014
Event19th Iberoamerican Congress on Pattern Recognition, CIARP 2014 - Puerto Vallarta, Mexico
Duration: 2 Nov 20145 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th Iberoamerican Congress on Pattern Recognition, CIARP 2014
CityPuerto Vallarta


  • Complex networks
  • Image processing
  • Offline handwritten signature verification and identification
  • Pattern recognition
  • Shape analysis


Dive into the research topics of 'Using complex networks for offline handwritten signature characterization'. Together they form a unique fingerprint.

Cite this