Image resolution is an important criterion to measure the quality of an image. High-resolution
images are a prerequisite for professionals to analyze problems and make accurate …

CRITICS LIKE CRAIG Clunas and Philip Kafalas have noted a shift toward the realm of
individual taste in seventeenth-century Chinese art and criticism. 1 The propensity for educated …

… Iris segmentation is a critical step in the entire iris recognition procedure. Most of the state-of-the-art
iris segmentation … and edge-based algorithms for iris segmentation. A well-designed …

… a challenge for iris recognition because it changes the appearance of the texture of the iris.
… At the end, we can achieve an accuracy higher than 99% using deep learning based models…

… 摘要(英) The mainstream biometrics technology in the market include fingerprint recognition,
face recognition, and iris recognition. Iris recognition often plays a pivotal role on access …

… Toward accurate and fast iris segmentation for iris biometrics[J]. … Towards complete and
accurate iris segmentation using … attention network for non-cooperative iris recognition[J]. IEEE …

… There are similar problems in the development of iris recognition algorithm. We construct
a WGAN-GP combined with independent classifier, to achieve the de-sired results. Using this …

… This paper presents an iris recognition algorithm based on fractal dimension in feature
extraction. Considering that the iris of Asian people has low contrast texture, a system is devised …

… Toward accurate and fast iris segmentation for iris biometrics[J]. IEEE Transactions on
Pattern Analysis and Machine Intelligence, 2009, 31(9): 1670–1684. [DOI:10.1109/TPAMI.…

… learning models in iris segmentation, iris feature extraction and … Towards complete and
accurate iris segmentation using … International Joint Conference on Biometrics. Piscataway: IEEE…