Details

Autor(en) / Beteiligte

• Kyong Chang
• Bowyer, K.W.
• Sarkar, S.
• Victor, B.

Titel

Comparison and combination of ear and face images in appearance-based biometrics

Ist Teil von

• IEEE transactions on pattern analysis and machine intelligence, 2003-09, Vol.25 (9), p.1160-1165

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2003

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• Researchers have suggested that the ear may have advantages over the face for biometric recognition. Our previous experiments with ear and face recognition, using the standard principal component analysis approach, showed lower recognition performance using ear images. We report results of similar experiments on larger data sets that are more rigorously controlled for relative quality of face and ear images. We find that recognition performance is not significantly different between the face and the ear, for example, 70.5 percent versus 71.6 percent, respectively, in one experiment. We also find that multimodal recognition using both the ear and face results in statistically significant improvement over either individual biometric, for example, 90.9 percent in the analogous experiment.