A hybrid approach for face template protection

Y. C. Feng, Pong Chi YUEN, Anil K. Jain

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

52 Citations (Scopus)


Biometric template protection is one of the important issues in deploying a practical biometric system. To tackle this problem, many algorithms have been reported in recent years, most of them being applicable to fingerprint biometric. Since the content and representation of fingerprint template is different from templates of other modalities such as face, the fingerprint template protection algorithms cannot be directly applied to face template. Moreover, we believe that no single template protection method is capable of satisfying the diversity, revocability, security and performance requirements. We propose a three-step cancelable framework which is a hybrid approach for face template protection. This hybrid algorithm is based on the random projection, class distribution preserving transform and hash function. Two publicly available face databases, namely FERET and CMU-PIE, are used for evaluating the template protection scheme. Experimental results show that the proposed method maintains good template discriminability, resulting in good recognition performance. A comparison with the recently developed random multispace quantization (RMQ) biohashing algorithm shows that our method outperforms the RMQ algorithm.

Original languageEnglish
Title of host publicationBiometric Technology for Human Identification V
Publication statusPublished - 2008
EventBiometric Technology for Human Identification V - Orlando, FL, United States
Duration: 18 Mar 200819 Mar 2008

Publication series

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


ConferenceBiometric Technology for Human Identification V
Country/TerritoryUnited States
CityOrlando, FL

Scopus Subject Areas

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

User-Defined Keywords

  • Biometric data security and privacy
  • Face recognition
  • Face template protection


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