Navigation Links
Researchers advance biometric security
Date:6/21/2012

Researchers in the Biometric Technologies Laboratory at the University of Calgary have developed a way for security systems to combine different biometric measurementssuch as eye colour, face shape or fingerprintsand create a learning system that simulates the brain in making decisions about information from different sources.

Marina Gavrilova, the founding head of the labamong the first in the research community to introduce and study neural network based models for information fusionsays they have developed a biometric security system that simulates learning patterns and cognitive processes of the brain.

Biometric information is becoming more common in our daily lives, being incorporated in drivers' licenses, passports and other forms of identification. Gavrilova says the work in her lab is not only pioneering the intelligent decision-making methodology for human recognition but is also important for maintaining security in virtual worlds and avatar recognition.

"Our goal is to improve accuracy and as a result improve the recognition process," says Gavrilova, a professor in the Faculty of Science. "We looked at it not just as a mathematical algorithm, but as an intelligent decision making process and the way a person will make a decision."

The algorithm can learn new biometric patterns and associate data from different data sets, allowing system to combine information, such as fingerprint, voice, gait or facial features, instead of relying on a single set of measurements.

The key is in the ability to combine features from multiple sources of information, prioritise them by identifying more important/prevalent features to learn and adapt the decision-making to changing conditions such as bad quality data samples, sensor errors or an absence of one of the biometrics.

"It's a kind of artificial intelligence application that can learn new things, patterns and features," Gavrilova says. With this new multi-dimensional approach, a security system can train itself to learn the most important features of any new data and incorporate it the decision making process.

"The neural network allows a system to combine features from different biometrics in one, learn them to make the optimal decision about the most important features, and adapt to a different environment where the set of features changes. This is a different, more flexible approach."

The research has been published in several journals, including Visual Computer and International Journal of Information Technology and Management. The work was also presented at the CyberWorlds and International Conference on Cognitive Informatics & Cognitive Computing in Banff in 2011.


'/>"/>

Contact: Leanne Yohemas
leanne.yohemas@ucalgary.ca
403-220-7722
University of Calgary
Source:Eurekalert

Related biology news :

1. Argonne researchers receive 4 R&D 100 awards
2. Researchers identify need to sample multiple tumor zones in breast cancer
3. London researchers discover novel mechanism involved in key immune response
4. NTU researchers study little mighty creature for scientific breakthrough
5. UTMB researchers create powerful new method to analyze genetic data
6. Researchers at GW receive federal funds to study the effect earthquakes have on nuclear reactors
7. Stanford researchers help predict the oceans of the future with a mini-lab
8. Researchers complete the first epigenome in Europe
9. UC Santa Barbara researchers develop synthetic platelets
10. Researchers say tart cherries have the highest anti-inflammatory content of any food
11. CSHL researchers solve structure of human protein critical for silencing genes
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:12/16/2016)...   IdentyTechSolutions America LLC , a leading ... and a cutting-edge manufacturer of software and hardware ... seamless, integrated solutions that comprise IDT biometric readers ... provide IdentyTech,s customers with combined physical identification and ... and theft. "We are proud to ...
(Date:12/16/2016)... 2016 The global wearable medical device market, in terms ... from USD 5.31 billion in 2016, at a CAGR of 18.0% ... ... advancements in medical devices, launch of a growing number of smartphone-based ... among healthcare providers, and increasing focus on physical fitness. ...
(Date:12/15/2016)... Calif. , Dec. 15, 2016   WaferGen ... publicly held genomics technology company, announced today that on ... Listing Qualifications Department of The Nasdaq Stock Market LLC ... closing bid price of WaferGen,s common stock had been ... Accordingly, WaferGen has regained compliance with Listing Rule 5550(a)(2) ...
Breaking Biology News(10 mins):
(Date:1/16/2017)... 2017   Valentin A. Pavlov, PhD , associate ... and CEO of The Feinstein Institute for Medical ... how the nervous system regulates the immune system, which ... medicine devices to treat disease and injury. The ... The paper examines various studies which further ...
(Date:1/16/2017)... Jan. 16, 2017  Eurofins Genomics today announced the ... more customers to receive their primers in a shorter ... in quality found with other providers. Express oligos are ... at no additional fee. Researchers ... studies, including DNA sequencing, genotyping, site-directed mutagenesis, and cloning. ...
(Date:1/14/2017)... -- The Alliance for Safe Biologic Medicines (ASBM) today issued ... guidance on biologic naming: We commend ... importance of distinct naming for all biologics, including biosimilars. ... will bring to patients, including new treatment options and ... the Guidance dealing with suffix design remains at odds ...
(Date:1/13/2017)... Research and Markets has announced the addition of ... ... grow at a CAGR of 16.83% during the period 2017-2021. ... the global biopolymers market for 2017-2021. To calculate the market size, the ... products. The report also includes a a discussion of the key vendors ...
Breaking Biology Technology: