Ergonomic Design for Biometric Systems
- PDF / 1,947,642 Bytes
- 58 Pages / 547.087 x 737.008 pts Page_size
- 60 Downloads / 251 Views
Synonym Ear Recognition
Introduction Biometrics identification methods have proved to be very efficient, more natural and easy for users than traditional methods of human identification. Biometrics methods truly identify humans, not keys and cards they posses or passwords they should remember. The future of biometrics leads to systems based on image analysis as the data acquisition is very simple and requires only cameras, scanners or sensors. More importantly, such methods could be ▶ passive, which means that the subject does not have to take active part in the whole process or, in fact, would not even know that the process of identification takes place. There are many possible data sources for human identification systems, but the physiological biometrics has many advantages over methods based on human behavior. The most interesting human anatomical parts for passive, physiological biometrics systems are face and ear. There are many advantages of using the ear as a source of data for human identification. Firstly, the ear has a very rich structure of characteristic ear parts. The location of these characteristic elements, their direction, angles, size and relation within the ear are distinctive and unique for humans, and therefore, may be used as a modality for human identification [1, 2]. Ear is one of the most stable human anatomical feature. It does not change considerably during human #
2009 Springer Science+Business Media, LLC
life while face changes more significantly with age than any other part of human body [1, 2]. Face can also change due to cosmetics, facial hair and hair styling. Secondly, human faces change due to emotions and express different states of mind like sadness, happiness, fear or surprise. In contrast, ear features are fixed and unchangeable by emotions. The ear is not symmetrical – the left and right ears are not the same. Due to forensics and medical studies, from the age of 4 ears grow proportionally, which is the problem of scaling in computer vision systems [1]. Furthermore, the ear is a human sensor, therefore it is usually visible to enable good hearing. In the process of acquisition, in contrast to face identification systems, ear images cannot be disturbed by glasses, beard or make-up. However, occlusion by hair or earrings is possible. It is also important that ear biometrics is highly accepted biometrics by users in possible access control applications and government security such as visa/passport programs. According to users, ear biometrics is less stressful than fingerprinting. Moreover, users admitted that they would feel less comfortable while taking part in face images enrolment (people tend to care how they look on photographs) [3]. Furthermore, in ear biometrics systems there is no need to touch any devices and therefore there are no problems with hygiene. It is worth mentioning that ear images are more secure than face images, mainly because it is very difficult to associate ear image with a given person (in fact, most of users are not able to recognize their own ear i
Data Loading...
