**Person Identification Using Multimodal Biometrics under Different Challenges under Different Challenges**

**Person Identification Using Multimodal Biometrics** 

DOI: 10.5772/intechopen.71667

Önsen Toygar, Esraa Alqaralleh and Ayman Afaneh Önsen Toygar, Esraa Alqaralleh and Ayman Afaneh Additional information is available at the end of the chapter

Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/intechopen.71667

#### **Abstract**

The main aims of this chapter are to show the importance and role of human identification and recognition in the field of human-robot interaction, discuss the methods of person identification systems, namely traditional and biometrics systems, and compare the most commonly used biometric traits that are used in recognition systems such as face, ear, palmprint, iris, and speech. Then, by showing and comparing the requirements, advantages, disadvantages, recognition algorithms, challenges, and experimental results for each trait, the most suitable and efficient biometric trait for human-robot interaction will be discussed. The cases of human-robot interaction that require to use the unimodal biometric system and why the multimodal biometric system is also required will be discussed. Finally, two fusion methods for the multimodal biometric system will be presented and compared.

**Keywords:** person identification, biometrics, multimodal biometrics, face recognition, iris recognition, palmprint recognition, ear recognition, speech recognition
