Multimodal Biometrics for Person Identification Using Ear and Palm Print Features

ABSTRACT

Biometrics are automated methods of recognising a person based on physiological or behavioural characteristics. To discriminate individuals, multimodal biometrics has already proven as an effective strategy. Biometric features can be broadly classified as physiological features and behavioural features. Ear, face, and palm come under physiological features. Gait and signature verification come under behavioural features. Combining multiple human trait features for biometric identification is multimodal biometric identification. Here, ear and palm print are the two biometric modalities used for person identification fused at feature level. To extract the features for person identification, Multiblock Local Binary Pattern and Binarised Statistical Image Features are used. Required intrusive means for acquiring the information can be a common drawback when using biometric features such as iris pattern, facial traits, etc. To overcome the drawbacks, ear can be used as a biometric feature; it also has an advantage of no changes over time and not influenced by facial expressions.

KEYWORDS:

• Binarised Statistical Image Features
• Feature extraction
• Multimodal biometrics
• Multiblock Local Binary Pattern

Additional information

Notes on contributors

M. S. Lohith

M S Lohith received his BE degree in electronics and communication engineering from Kalpataru Institute of Technology, Tiptur and MTech in digital electronics from Sri Siddhartha Institute of Technology,Tumakuru. Presently, he is pursuing his PhD from VTU-RRC Belgaum and working as a faculty in Electronics and Communication Department, Kalpataru Institute of Technology, Tiptur, India.

M. N. Eshwarappa

M N Eshwarappa received his BE degree in electrical and electronics engineering from MCE-Hassan, Mysore University and MTech in industrial electronics from KREC-Surthkal, Mangalore University. Dr Eshwarappa was awarded the PhD degree in 2013 for his work in the area of signal processing. Presently, he is working as a Professor in Sri Siddhartha Institute of Technology, Tumakuru. Email: [email protected]