Image Quality (IQ) based liveness detection system for multi-biometric detection

2016 ◽  
Author(s):  
Asmita A. Patil ◽  
S. A. Dhole
Keyword(s):  
Image Quality ◽  
Detection System ◽  
Liveness Detection

scholarly journals LiveEar: An Efficient and Easy-to-use Liveness Detection System for Voice Assistants

2021 ◽  
Vol 1871 (1) ◽  
pp. 012046
Author(s):  
Ling Yue ◽  
Chenhong Cao ◽  
Yufeng Li ◽  
Jiangtao Li ◽  
Qi Liu
Keyword(s):  
Detection System ◽  
Liveness Detection

scholarly journals Time of flight dual photon emission computed tomography

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Chih-Chieh Chiang ◽  
Chun-Chao Chuang ◽  
Yu-Ching Ni ◽  
Meei-Ling Jan ◽  
Keh-Shih Chuang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Imaging System ◽  
Detection System ◽  
Photon Emission ◽  
Time Of Flight ◽  
Emission Computed Tomography ◽  
List Mode ◽  
Emission Computed ◽  
Photon Emission Computed Tomography

Abstract Time-of-flight dual photon emission computed tomography (TOF-DuPECT) is an imaging system that can obtain radionuclide distributions using time information recorded from two cascade-decay photons. The potential decay locations in the image space, a hyperbolic response curve, can be determined via time-difference-of-arrival (TDOA) estimations from two instantaneous coincidence photons. In this feasibility study, Monte Carlo simulations were performed to generate list-mode coincidence data. A full-ring positron emission tomography-like detection system geometry was built in the simulation environment. A contrast phantom and a Jaszczak-like phantom filled with Selenium-75 (Se-75) were used to evaluate the image quality. A TOF-DuPECT system with varying coincidence time resolution (CTR) was then evaluated. We used the stochastic origin ensemble (SOE) algorithm to reconstruct images from the recorded list-mode data. The results indicate that the SOE method can be successfully employed for the TOF-DuPECT system and can achieve acceptable image quality when the CTR is less than 100 ps. Therefore, the TOF-DuPECT imaging system is feasible. With the improvement of the detector with time, future implementations and applications of TOF-DuPECT are promising. Further quantitative imaging techniques such as attenuation and scatter corrections for the TOF-DuPECT system will be developed in future.

Eye Region Activity State based Face Liveness Detection System

2016 ◽  
Vol 10 (1) ◽  
pp. 361-374
Author(s):  
Xu Guang Zhu ◽  
Yin Pan Long ◽  
Lei Bang Jun ◽  
Zou Yao Bin ◽  
Yang Ji Quan
Keyword(s):  
Detection System ◽  
Liveness Detection ◽  
Activity State ◽  
Eye Region

Fingerprint Liveness Detection Using Ensemble of Local Image Quality Assessments

2016 ◽  
Vol 2016 (2) ◽  
pp. 1-6
Author(s):  
Wonjun Kim ◽  
Sungjoo Suh ◽  
Youngsung Kim ◽  
Changkyu Choi
Keyword(s):  
Image Quality ◽  
Liveness Detection ◽  
Fingerprint Liveness Detection ◽  
Quality Assessments ◽  
Local Image

A Study on the X-Ray Image Quality Evaluation Method Based on Weighted Local Entropy

2011 ◽  
Vol 467-469 ◽  
pp. 462-468
Author(s):  
Qi Zhou Wu ◽  
Jing Zhou ◽  
Bin Liu
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Imaging System ◽  
Detection System ◽  
Local Entropy ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Object Distance ◽  
Imaging Results

In X-ray imaging system, with the change of parameters in material quality, volume, object distance and else of the target objects, manual adjustments of tube voltage and tube current are often needed to get ideal imaging results. Whereas human interventions are often subjective that cannot meet the automation development of X-ray detection system. In view of the above problems, a method for objective quality evaluation in images which is based on weighted local entropy is presented in the paper. Parameters adaptive adjustment in X-ray detection system can be based on this method. The validity of the approach is proved by experiment and comparative analysis with the traditional image quality evaluation function.

scholarly journals The object detection system of balinese script on traditional Balinese manuscript with findcontours method

2021 ◽  
Vol 11 (3) ◽  
pp. 177-184
Author(s):  
Putra Manuaba ◽  
◽  
Komang Ayu Triana Indah ◽  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Edge Detection ◽  
Object Detection ◽  
Detection System ◽  
Main Issue ◽  
Age Factor

Lontar is a traditional Balinese manuscript with a Balinese script in it. Balinese traditional manuscripts can be more than 100 years old. The age factor of the Balinese manuscript has an impact on the Balinese script in it. Balinese script that has been written more than 10 years tends to be darker. This makes Balinese script not visible well, and this affects the image quality of the manuscript. This thing becomes the main issue in this research, Balinese script detection on Balinese manuscript images. the first of all is image processing using edge detection, canny and Sobel becomes the main algorithm of this process. After image processing, the Balinese manuscript will be processed with the findcontour method to detect an object that contains in it. The final process of this detection system is to separate detected objects into three main groups namely noise object, Balinese script object, and hole object. Application (Balinese script object detection system) is more accurate in detecting Balinese script objects in Balinese script under 1 year (new script), it tends to be more likely to find noise/dirt. This is because the writing of the lontar using a pencil first before using the knife media. This adds to the noise or dirt detected by the application The findcontour method can detect Balinese script objects with a detection result of 30% - 70% Balinese script objects.

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