Reza Derakhshani

Last updated
Reza Derakhshani
Alma mater University of West Virginia (M.S., Ph.D.) Iran University of Science and Technology (B.S.)
Known for eye vein verification
Scientific career
Fields electrical engineering, pattern recognition
Institutions University of Missouri Kansas City
Website sce2.umkc.edu/csee/derakhshanir/Main.html

Reza Derakhshani is an inventor and professor of computer science and electrical engineering at the University of Missouri Kansas City. He is known for inventing and developing a biometric security system that uses the patterns of blood vessels in the eyes. His research has encompassed biometrics, biometric spoofing, biomedical signal and image processing, and computational intelligence. [1]

Contents

After earning his B.S. at Iran University of Science and Technology in Tehran, Derakhshani continued his studies at West Virginia University in Morganstown, where he earned his Ph.D. He later taught at Georgetown University, Washington, D.C., and then UMKC. His courses include advanced biomedical signal analysis, neural and adaptive systems courses and overseeing senior robotics design projects. Along with biometrics, he also researches biomedical signal and image processing and computational intelligence. Much of his research has been funded by the National Science Foundation's Center for Identification Technology Research.

He also serves as Chief Science Officer of EyeVerify, a Missouri-based startup company that develops and markets biometric security software based on Derakhshani's research.

Eye vein verification

Derakhshani identified the potential usefulness of the patterns of blood vessels in the sclera — the white part of the eyes — which are unique to each person. The pattern can be imaged and turned into a digital template, and then encoded with mathematical and statistical algorithms. These allow confirmation of the identity of the proper user and the rejection of anyone else. [2]

Derakhshani holds several patents on the technology, including a 2008 patent for the concept of using the blood vessels seen in the whites of the eye as a unique identifier.

Honors and awards

Related Research Articles

<span class="mw-page-title-main">Retina</span> Part of the eye

The retina is the innermost, light-sensitive layer of tissue of the eye of most vertebrates and some molluscs. The optics of the eye create a focused two-dimensional image of the visual world on the retina, which then processes that image within the retina and sends nerve impulses along the optic nerve to the visual cortex to create visual perception. The retina serves a function which is in many ways analogous to that of the film or image sensor in a camera.

Biometrics are body measurements and calculations related to human characteristics. Biometric authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

<span class="mw-page-title-main">Iris recognition</span> Method of biometric identification

Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance. The discriminating powers of all biometric technologies depend on the amount of entropy they are able to encode and use in matching. Iris recognition is exceptional in this regard, enabling the avoidance of "collisions" even in cross-comparisons across massive populations. Its major limitation is that image acquisition from distances greater than a meter or two, or without cooperation, can be very difficult.

A retinal scan is a biometric technique that uses unique patterns on a person's retina blood vessels. It is not to be confused with other ocular-based technologies: iris recognition, commonly called an "iris scan", and eye vein verification that uses scleral veins.

<span class="mw-page-title-main">Bionics</span> Application of natural systems to technology

Bionics or biologically inspired engineering is the application of biological methods and systems found in nature to the study and design of engineering systems and modern technology.

<span class="mw-page-title-main">Optic disc</span> Optic nerve head, the point of exit for ganglion cell axons leaving the eye

The optic disc or optic nerve head is the point of exit for ganglion cell axons leaving the eye. Because there are no rods or cones overlying the optic disc, it corresponds to a small blind spot in each eye.

<span class="mw-page-title-main">Computer-aided diagnosis</span> Type of diagnosis assisted by computers

Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, Endoscopy, and ultrasound diagnostics yield a great deal of information that the radiologist or other medical professional has to analyze and evaluate comprehensively in a short time. CAD systems process digital images or videos for typical appearances and to highlight conspicuous sections, such as possible diseases, in order to offer input to support a decision taken by the professional.

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<span class="mw-page-title-main">Anastasios Venetsanopoulos</span> Canadian engineer (1941–2014)

Anastasios (Tas) Venetsanopoulos was a professor of electrical and computer engineering at Toronto Metropolitan University in Toronto, Ontario and a Professor Emeritus with the Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto. In October 2006, Professor Venetsanopoulos joined what was then Ryerson University and served as the Founding Vice-president of Research and Innovation. His portfolio included oversight of the university's international activities, research ethics, Office of Research Services, and Office of Innovation and Commercialization. He retired from that position in 2010, but remained a distinguished advisor to the role. Tas Venetsanopoulos continued to actively supervise his research group at the University of Toronto, and was a highly sought-after consultant throughout his career.

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<span class="mw-page-title-main">Vein matching</span> Technique of biometric identification

Vein matching, also called vascular technology, is a technique of biometric identification through the analysis of the patterns of blood vessels visible from the surface of the skin. Though used by the Federal Bureau of Investigation and the Central Intelligence Agency, this method of identification is still in development and has not yet been universally adopted by crime labs as it is not considered as reliable as more established techniques, such as fingerprinting. However, it can be used in conjunction with existing forensic data in support of a conclusion.

Bir Bhanu is the Marlan and Rosemary Bourns Endowed University of California Presidential Chair in Engineering, the Distinguished Professor of Electrical and Computer Engineering, and Cooperative Professor of Computer Science and Engineering, Mechanical Engineering and Bioengineering, at the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside (UCR). He is the first Founding Faculty of the Marlan and Rosemary Bourns College of Engineering at UCR and served as the Founding Chair of Electrical Engineering from 1/1991 to 6/1994 and the Founding Director of the Center for Research in Intelligent Systems (CRIS) from 4/1998 to 6/2019. He has been the director of Visualization and Intelligent Systems Laboratory (VISLab) at UCR since 1991. He was the Interim Chair of the Department of Bioengineering at UCR from 7/2014 to 6/2016. Additionally, he has been the Director of the NSF Integrative Graduate Education, Research and Training (IGERT) program in Video Bioinformatics at UC Riverside. Dr. Bhanu has been the principal investigator of various programs for NSF, DARPA, NASA, AFOSR, ONR, ARO and other agencies and industries in the areas of object/target recognition, learning and vision, image/video understanding, image/video databases with applications in security, defense, intelligence, biological and medical imaging and analysis, biometrics, autonomous navigation and industrial machine vision.

Thomas Baer is the executive director of the Stanford Photonics Research Center, a consulting professor in the Applied Physics Department and an Associate Member of the Stem Cell Institute at Stanford University. His current scientific research is focused on developing imaging and biochemical analysis technology for exploring the molecular basis of human developmental biology and neuroscience. He received a B.A. in physics from Lawrence University in 1974, and a Ph.D. in atomic physics from the University of Chicago in 1979, where he studied with Professors Ugo Fano and Isaac Abella. After receiving his Ph.D. he worked with Nobel Laureate John L. Hall at JILA, University of Colorado, performing research on frequency stabilized lasers and ultra-high precision molecular spectroscopy.

Eye vein verification is a method of biometric authentication that applies pattern-recognition techniques to video images of the veins in a user's eyes. The complex and random patterns are unique, and modern hardware and software can detect and differentiate those patterns at some distance from the eyes.

<span class="mw-page-title-main">EyeVerify</span>

EyeVerify, Inc. is a biometric security technology company based in Kansas City, Missouri owned by Ant Group. Its chief product, Eyeprint ID, provides verification using eye veins and other micro-features in and around the eye. Images of the human eye are used to authenticate mobile device users. EyeVerify licenses its software for use in mobile banking applications, such as those offered by Tangerine Bank, NCR/Digital Insight and Wells Fargo.

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References

  1. "Speakers" . Retrieved 2015-04-12.
  2. Stacy, Michael (22 February 2012). "Kansas City startup EyeVerify sees opportunity in the whites of your eyes". Silicon Prairie News. Retrieved 20 February 2014.
  3. "Associate Professor Reza Derakhshani earns prestigious award for research" . Retrieved 2015-04-12.
  4. "Meet our 8 finalists for Technologist and Designer of the Year" . Retrieved 2015-04-12.
  5. "Reza R. Derakhshani, Ph.D." Retrieved 2015-04-12.
  6. "Congratulations to the winners of the UMKC Trustee Awards" . Retrieved 2015-04-12.