TY - GEN
T1 - On face detection and performance evaluation for biometrics-based face systems
AU - Hassaballah, Mahmoud
AU - Murakami, Kenji
AU - Ido, Shun
PY - 2011
Y1 - 2011
N2 - Biometrics-based personal identification is considered as an effective method for automatically recognizing a persons identity. Face detection is a fundamental step in the biometrics-based face systems and many other applications from computer vision field. Most of the face-related applications such as face recognition and face tracking assume that the face region has been perfectly detected. To adapt a certain algorithm in these applications, evaluation of its performance is needed. Unfortunately, it is difficult to evaluate the performance of a face detection algorithm due to the lack of universal criteria in the literature. In this paper we introduce a new evaluation criterion for face detection algorithms. This criterion is based on the golden ratio definition of the perfect human face. The new evaluation criterion is simple and more realistic compared to the existing one. Using the proposed criterion five Harr-cascade classifiers provided by Intel
AB - Biometrics-based personal identification is considered as an effective method for automatically recognizing a persons identity. Face detection is a fundamental step in the biometrics-based face systems and many other applications from computer vision field. Most of the face-related applications such as face recognition and face tracking assume that the face region has been perfectly detected. To adapt a certain algorithm in these applications, evaluation of its performance is needed. Unfortunately, it is difficult to evaluate the performance of a face detection algorithm due to the lack of universal criteria in the literature. In this paper we introduce a new evaluation criterion for face detection algorithms. This criterion is based on the golden ratio definition of the perfect human face. The new evaluation criterion is simple and more realistic compared to the existing one. Using the proposed criterion five Harr-cascade classifiers provided by Intel
KW - Biometrics
KW - Face detection
KW - Golden ratio
KW - Performance evaluation measures
UR - http://www.scopus.com/inward/record.url?scp=80052184717&partnerID=8YFLogxK
U2 - 10.2316/P.2011.737-011
DO - 10.2316/P.2011.737-011
M3 - Conference contribution
AN - SCOPUS:80052184717
SN - 9780889868700
T3 - Proceedings of the IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
SP - 57
EP - 62
BT - Proceedings of the IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
T2 - IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology, ISPHT 2011
Y2 - 16 May 2011 through 18 May 2011
ER -