A bimodal biometric identification system

Mohammad Shakeel Laghari, Gulzar Ali Khuwaja

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Biometrics consists of methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. Physicals are related to the shape of the body. Behavioral are related to the behavior of a person. However, biometric authentication systems suffer from imprecision and difficulty in person recognition due to a number of reasons and no single biometrics is expected to effectively satisfy the requirements of all verification and/or identification applications. Bimodal biometric systems are expected to be more reliable due to the presence of two pieces of evidence and also be able to meet the severe performance requirements imposed by various applications. This paper presents a neural network based bimodal biometric identification system by using human face and handwritten signature features.

Original languageEnglish
Title of host publicationInternational Conference on Graphic and Image Processing, ICGIP 2012
Publication statusPublished - 2013
Event4th International Conference on Graphic and Image Processing, ICGIP 2012 - Singapore, Singapore
Duration: Oct 6 2012Oct 7 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Other4th International Conference on Graphic and Image Processing, ICGIP 2012


  • Adaptive classification
  • Bimodal biometric identification
  • Computer vision
  • Pattern recognition

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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