Human identification using Linear Multiclass SVM and eye movement biometrics

Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, U. S. Tiwary

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

10 Citations (Scopus)


The paper presents a system to accurately differentiate between unique individuals by utilizing the various eye-movement biometric features. Eye Movements are highly resistant to forgery as the generation of eye movements occur due to the involvement of complex neurological interactions and extra ocular muscle properties. We have employed Linear Multiclass SVM model to classify the numerous eye movement features. These features were obtained by making a person fixate on a visual stimuli. The testing was performed using this model and a classification accuracy up to 91% to 100% is obtained on the dataset used. The results are a clear indication that eye-based biometric identification has the potential to become a leading behavioral technique in the future. Moreover, its fusion with different biometric processes such as EEG, Face Recognition etc., can also increase its classification accuracy.

Original languageEnglish
Title of host publication2015 Eighth International Conference on Contemporary Computing (IC3)
EditorsManish Parashar, Tirumale Ramesh, Jaric Zola, Narendra Nanjangud, Kishore Kothapalli, J. Amudha, Purushotham Bangalore, Deepa Gupta, Animesh Pathak, Sanjay Chaudhary, K. V. Dinesha, Sushil K. Prasad
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781467379489, 9781467379465
ISBN (Print)9781467379472
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Contemporary Computing 2015 - Noida, India
Duration: 20 Aug 201522 Aug 2015
Conference number: 8th (Proceedings) (Website)


ConferenceInternational Conference on Contemporary Computing 2015
Abbreviated titleIC3 2015
Internet address


  • Biometric Eye Verification
  • Eye Difference
  • Eye Position
  • Eye Velocity
  • Identification
  • Linear Multiclass SVM

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