Comparative Study on Feature Extractions for Ear Recognition: Comparative Study on Feature Extractions for Ear Recognition

Comparative Study on Feature Extractions for Ear Recognition: Comparative Study on Feature Extractions for Ear Recognition

Dayanand Bharat Gore (MGM Dr. G.Y. Pathrikar CS & IT Aurangabad, Aurangabad, India)
Copyright: © 2019 |Pages: 11
DOI: 10.4018/IJAEC.2019040102

Abstract

Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioural traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. This research considers the use of ears as a biometric for human recognition. In this article, basic feature extraction techniques are implemented such as Harris Feature, FAST Feature extraction and SURF Feature Extraction. All the images are taken from standard database and each image has different angles because of any criminal investigation, accident, or ATM machine camera taken different types of images. So, using different images feature extraction the research goes through these techniques to give the best result to the user.
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2. 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.

3. 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.

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