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Top2. Ear Biometric Stages
- 1.
Ear Detection: Segmenting the ear region from the image;
- 2.
Feature Extraction: Representing the ear structure by a feature vector;
- 3.
Classification: Matching the probe and the gallery feature vectors to verify the subject claimed identity or to search a database in order to identify the admitted person.
Top3. Anatomy Of Human Ear
Before you the probability of recognizing the humans by using the shape of their outer ear was first recognized by Alphonse Bertillon in1896 (Bertillon, 1896) Bertillon made some measurements for Bertillonage System to identify the criminals. The detail structure of human ear is unique in the universe but it also remains unchanged for the lifetime of human being. This external feature is clearly and easily visible. The anatomy of ear is given in figure 1; a)- Helix; b)- Lobule; c)- Triangular Fossa; d)- Antihelix; e)- Antitragus; f)- Crus of Helix; g)- Tragus; h)- Incisure Intertragica; i)-Concha. The first ear recognition system was developed by American police officer Iannarelli in 1949 (Iannarelli, 1989). In his system 12 measurements were taken from an ear image manually. Upright, flat, anti-diagonal and diagonal lines were drawn from that centre point to interconnect internal and external curves as shown in Figure 1.
Figure 1.
Structure of the human ear
Figure 1 shows that the anatomy of human ear.in this figure fossa of antihelix, Helix, Fossa of Helix, External auditory canal, Tragus, Incisura intertragica, Antihelix, Concha, Antitragus, Lobule these are the basics points to identify the persons in our research.