A new deep learning-based iris recognition system is presented in the current study in the
case of eye disease. Current state of art iris segmentation is either based on traditional low …

In order to accurately identify the morphological features of different differentiation stages of
induced Adipose Derived Stem Cells (ADSCs) and judge the differentiation types of induced …

This study aims to enhance the localization of the inner and outer circles of the iris while
addressing issues of excessive invalid computations and inaccuracies. To achieve this …

Identification of people using different biometric data is becoming more important in network
society. Biometrics include voice, ears, palms, fingerprints, faces, iris, retina, and hand …

Purpose The iris pattern is an important biological feature of the human body. The
recognition of an individual based on an iris pattern is gaining more popularity due to the …

Biometric recognition is essential for identifying people in security, surveillance, and mobile
device authentication. Iris recognition (IR) biometrics is exact because it uses unique iris …

Nowadays, the iris recognition system is one of the most widely used and most accurate
biometric systems. The iris segmentation is the most crucial stage of iris recognition system …

Biometrics has an unavoidable space in the era of security in terms of identifying the
Individuals. There are many biometrics which are providing more prominent result, but all …

Iris recognition stands out as one of the most stable and accurate biometric identification
systems such as facial, voice, fingerprint, handwriting, and iris recognition itself. Deep …

In order to accurately identify the morphological features of different differentiation stages of
induced Adipose Derived Stem Cells (ADSCs) and judge the differentiation types of induced …