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Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics
September 2003 (vol. 25 no. 9)
pp. 1160-1165
Abstract—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.
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Index Terms:
Biometrics, multimodal biometrics, face recognition, ear recognition, appearance-based recognition, principal component analysis.
Citation:
Kyong Chang, Kevin W. Bowyer, Sudeep Sarkar, Barnabas Victor, "Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1160-1165, Sept. 2003, doi:10.1109/TPAMI.2003.1227990
