Open?set iris recognition based on deep learning

Deep Learning-Based Iris Segmentation for Iris Recognition in Visible Light Environment

Existing iris recognition systems are heavily dependent on specific conditions, such as the distance of image acquisition and the stop-and-stare environment, which require significant user cooperation. In environments where user cooperation is not guaranteed, prevailing segmentation schemes of the iris region are confronted with many problems, such as heavy occlusion of eyelashes, invalid off-a...

Iris Recognition based on Wavelets

Deep Learning Based Food Recognition

Food is the cornerstone of people’s life. Nowadays more and more people cares about the dietary intake since unhealthy diet leads to numerous diseases, like obesity and diabetes. Accurately labelling food items is significantly essential to keep fit and live a healthy life. However, currently referring to nutrition experts or Amazon Mechanical Turk is the only way to recognize the food items. I...

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

Iris Recognition Based Learning `vector Quantization and Local Binary Patterns on Iris Matching

Iris recognition is a biometric system for access control that uses the most unique characteristic of the human body, the iris employed in automated border crossings. This is Local binary pattern (LBP) is used for feature vectors extraction and Learning Vector Quantization (LVQ) performs classification. Here, matching is performed using the hamming distance of iris detections of matching. Iris ...