Abstract
Biometrics is the study of automatic techniques for recognizing human beings based on physical or behavioral traits. To find good biometric features, technique has been researched extensively in recent years. Among several biometric features, ear is quite stable because it does not vary with age and emotion. The ear recognition work depends on ear height, reference line cut points, corresponding angles and inner ear curve. The study is performed on the ear in random orientation and shows a greater accuracy than existing dominant approach. The recognition accuracy is increased by using more training images for database. Face recognition by itself, using the same approach, gave a 63% rank one recognition rate, but when complimented with ear images in a multimodal system improved to 94% rank one recognition rate. General Terms: K-nearest Neighbors, Ear Edge Detection, Ear Localization, Feature Extraction, Radon and DCT.
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