Within the framework of the ongoing implementation of the 2030 Vision for Comprehensive
Development of Higher Education in Saudi Arabia, the integration of artificial intelligence …

In the present world, biometric systems are used to analyze and verify a person's distinctive
bodily or behavioral features for authentication or recognition. Till now, there are numerous …

This paper presents ear recognition models constructed with Deep Residual Networks
(ResNet) of various depths. Due to relatively limited amounts of ear images we propose …

The existing multimodal biometric fingerprint and vein deep learning features were found
effective for biometric recognition. However, the current performance of the deep learning …

Ear images are easy to capture, and ear features are relatively stable and can be used for
identification. The ear images are all asymmetric, and the asymmetry of the ear images …

In recent years biometric identification and verification of human beings based on their
physiological or behavioral characteristics have become a trend in security applications. The …

Now a days, the biometric system is playing a significant role, especially in the banking
sector, law enforcement region. In previous times the unimodal system was used for …

This chapter presents machine learning and deep learning techniques for multimodal
biometrics. Multiple biometrics have been used in this concept to enhance the recognition …

In the digital world, biometrics is used for authentication or recognition to examine and
confirm a person's distinguishing physical or behavioral attributes. There are many …

This paper proposes a novel efficient descriptor for finger knuckle print (FKP) identification.
Our proposed descriptor is called MDL (M agnitude, D irection, and L ocal patterns), as it …