activity
20152017
most citedIris Recognition Using Scattering Transform and Textural Features

12 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

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…

cs.CV2015

Screen Content Image Segmentation Using Least Absolute Deviation Fitting

Shervin Minaee, Yao Wang

We propose an algorithm for separating the foreground (mainly text and line graphics) from the smoothly varying background in screen content images. The proposed method is designed…

cs.MM2015

A two-stage video coding framework with both self-adaptive redundant dictionary and adaptively orthonormalized DCT basis

Yuanyi Xue, Yi Zhou, Yao Wang

In this work, we propose a two-stage video coding framework, as an extension of our previous one-stage framework in [1]. The two-stage frameworks consists two different dictionarie…