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20152019
most citedIris Recognition Using Scattering Transform and Textural Features

12 citations · 14 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CV2019

Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection

Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang

Foreground detection in a given video sequence is a pivotal step in many computer vision applications such as video surveillance system. Robust Principal Component Analysis (RPCA)…

cs.CV2018

Multispectral Image Intrinsic Decomposition via Low Rank Constraint

Qian Huang, Weixin Zhu, Yang Zhao +4

Multispectral images contain many clues of surface characteristics of the objects, thus can be widely used in many computer vision tasks, e.g., recolorization and segmentation. How…

cs.CV2017

Text Extraction From Texture Images Using Masked Signal Decomposition

Shervin Minaee, Yao Wang

Text extraction is an important problem in image processing with applications from optical character recognition to autonomous driving. Most of the traditional text segmentation al…

cs.CV2016

Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition

Shervin Minaee, Yao Wang

This paper considers how to separate text and/or graphics from smooth background in screen content and mixed document images and proposes two approaches to perform this segmentatio…

cs.CV2016

Palmprint Recognition Using Deep Scattering Convolutional Network

Shervin Minaee, Yao Wang

Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms have been proposed for palmprint recognition in the past, majority of them being based o…

cs.CV201512 cited

Iris Recognition Using Scattering Transform and Textural Features

Shervin Minaee, AmirAli Abdolrashidi, Yao Wang

Iris recognition has drawn a lot of attention since the mid-twentieth century. Among all biometric features, iris is known to possess a rich set of features. Different features hav…