MorphoCloud includes services for fingerprint and palmprint search and verification, as well as face recognition MorphoTrak, a key provider of biometric services to law enforcement and other agencies, will donate access to MorphoCloud, a cloud-based collection of services, to West Virginia University to support the university's highly-regarded research and education programs in biometrics and forensics. Close academic partnership MorphoTrak, a subsidiary of Safran Identity and Security, has collaborated with the WVU biometrics program for several years, supporting a number of researchers' projects; this opportunity builds on that relationship. In announcing the donation B. Scott Swann, vice president of federal operations and innovation, a West Virginia native and WVU graduate said, "MorphoTrak located its West Virginia corporate office in Morgantown for a strategic reason. We want to foster a close academic partnership with WVU. We are very excited about this partnership. The academic and research values should be long lasting and definitely go beyond the monetary value of this donation." Expanding MorphoClouds services The current version of MorphoCloud includes services for fingerprint and palmprint search and verification, as well as face recognition. In the near future, the cloud services available to WVU will be expanded to include iris recognition and video analytics. As part of the donation, MorphoTrak will provide technology training and support to WVU to operate the multi-biometric identification capability of MorphoCloud. "We are pleased to have access to this world-class biometric system that integrates analytics from multiple sources," WVU President Gordon Gee said. "As a leader in biometric technology research and the FBI Biometric Centre of Excellence's lead academic partner, West Virginia University's agreement with MorphoTrak takes us to a new and exciting level of research in this emerging field." "It makes perfect sense to team with WVU and continue growing MorphoTrak's presence in the area" WVU's Biometrics & Identification Innovation Centre The MorphoTrak engineering and development facility, which marks its one-year anniversary in November, is just a short distance from the advanced research occurring at WVU's Biometrics & Identification Innovation Centre, staffed by a multi-disciplinary group of WVU researchers. They work with government and industry to advance biometric technology and its associated applications. Celeste Thomasson, MorphoTrak president and CEO, underscores the decision of this $1.5 million donation to WVU. Growing MorphoTrak's presence "It makes perfect sense to team with WVU and continue growing MorphoTrak's presence in the area," Thomasson said. "Providing WVU and the BIIC with access to our industry-leading identification technologies through MorphoCloud is the first step toward building a sustainable framework for research collaboration and innovation that benefits our key stakeholders such as the FBI and other state and local law enforcement agencies." WVU Vice President for Research Fred King said that "West Virginia University is honoured that MorphoTrak has chosen to partner with us to provide our researchers the opportunity to use and develop sophisticated technologies essential to maintaining our nation's security." Keith Morris, associate professor in the Department of Forensic and Investigative Science, and Matthew Valenti, professor in the Lane Department of Computer and Electrical Engineering, will be the lead researchers on the MorphoCloud project.
APD is the first law enforcement agency to implement MorphoBIS in the cloud MorphoTrak, a subsidiary of Safran Identity & Security, together with the Albuquerque Police Department (APD), announced the successful operational deployment of MorphoBIS in the cloud, the flagship offering of the MorphoCloud platform. The announcement opens a new era for the APD as the first law enforcement agency to implement an automated biometric identification system (ABIS) in the cloud. It is a milestone for MorphoTrak and the biometric industry as well, marking the world's first deployment of a criminal ABIS system in a secure commercial cloud environment.MorphoCloud platformScientists at the Albuquerque Police Metropolitan Forensics Science Centre are able to focus their efforts on the primary mission such as latent examination, suspect identification and verification, using the latest workstations securely connected to the MorphoCloud. The MorphoCloud provides APD with the latest ABIS functionality available currently in a highly scalable and secure architecture.True Software-as-a-Service is new to the criminal justice biometric identification market, and MorphoTrak and the APD addressed concerns about security and data integrity early in the design stage. The APD MorphoCloud is hosted on Microsoft Azure Government, a cloud platform designed to meet strict U.S. government standards for physical and information security. "MorphoCloud allows forincreased matching speedsand we are hitting on lowerquality prints" Allan Armenta, APD Systems Analyst, stated that with the ABIS being hosted in the cloud, more staff hours can be devoted to law enforcement projects. This opens opportunities to leverage other components inherent in cloud computing such as scalability and disaster recovery. Kris Rubi, APD Forensic Scientist, noted, "MorphoCloud allows for increased matching speeds and we are hitting on lower quality prints. The new ABIS allows us greater case management and organisation. MorphoTrak has been very attentive to our needs and with the system in the cloud, they have been able to meet our demands in a more efficient manner." Continuous updates The APD will benefit from another MorphoCloud first—continuous updates. In a significant innovation over the traditional software life cycle, MorphoTrak applies updates to the system on a continual basis. The APD will always have the latest, most advanced version of MorphoBIS including advances in our core algorithms, without the disruption that typically accompanies a major upgrade. In a similar vein, MorphoCloud will allow the APD to expand its system as needed, without the financial demands of new hardware, costly integration, and extensive testing.Celeste Thomasson, MorphoTrak President and CEO, commented, "We are pleased to be standing with the Albuquerque Police Department on the horizon of cloud adoption in law enforcement. We share a dedication to the public safety mission and are proud to offer a portal to sophisticated crime-solving software and a secure repository for sensitive data that will keep the APD at the forefront of the nation's public safety organisations." Save
MorphoTrak's tattoo recognition algorithm helps make the transition from keyword to automated search MorphoTrak, a U.S. subsidiary of Morpho (Safran), announced recently that MorphoTrak's tattoo recognition algorithm placed first in the Tattoo Recognition Technology - Challenge (Tatt-C) evaluation conducted by the National Institute of Standards and Technology (NIST). Trial examination Each trial examined a critical aspect of performance for an automated tattoo recognition solution. In the identification trials, the MorphoTrak algorithm successfully found different instances of the same tattoo on the same subject, collected over time. MorphoTrak also excelled at finding a small region of interest within a larger tattoo, as well as determining whether an image contained a tattoo. Tattoo images have traditionally been regarded as a soft biometric -- that is, visual information that can be used to narrow down the range of candidates for identification and investigation, but cannot be used to explicitly identify an individual. Law enforcement organisations have been collecting tattoo images as long as they have been collecting mugshots, and while mugshots can now be submitted for automated searches using face recognition algorithms, tattoos are still categorised by text, in broad categories such as "Dragon," and "Skull." The team that developed MorphoTrak's tattoo recognition algorithm wants to help law enforcement make the transition from keyword search to automated search of tattoo images, much in the same way we now search for fingerprints and faces. Automated tattoo recognition solution Celeste Thomasson, President and CEO of MorphoTrak, stated, "MorphoTrak is proud to continue its tradition of leadership and commitment to excellence in the field of biometric technology. Prior to MorphoTrak's work in this area, investigators had to rely on text keywords to find tattoos that were similar in appearance. Our continuously improving tattoo recognition algorithm takes the criminal justice, forensic investigation and public security communities one step closer to a high-performance automated tattoo recognition solution." Dr. Peter Lo, MorphoTrak Senior Research Manager, will present a session on Tattoo Recognition, including commentary on the NIST Tatt-C benchmark test, at the 2015 International Association of Identification (IAI) on Wednesday, August 5, 7:30 a.m. - 8:30 a.m.
Dr. Nicole Spaun, Principal Facial Biometric Expert for MorphoTrak, will lead the training in face comparison MorphoTrak, a U.S. subsidiary of Morpho (Safran), announced recently that it will offer vendor-independent training* in face comparison, filling an acknowledged gap in the field of computer-aided face recognition and facial identification. Automated face recognition systems are common in both law enforcement and civil applications, yet facial matching software can only present the reviewer with potential matches. It is up to the human reviewer to decide whether two facial images belong to the same individual. Face identification and review Dr. Nicole Spaun, former Forensic Examiner with the FBI's Digital Evidence Lab and Biometrics Program Manager for the U.S. Army in Europe, now Principal Facial Biometric Expert for MorphoTrak, will lead the training in visual face comparison. Dr. Spaun explains that training for human reviewers has not kept pace with the scope of facial images available from public and private sources. In addition, reviewers may be called upon to compare faces in different scenarios. One task is facial review, where the analyst uses multiple images from a face recognition system to match faces of the same person. Another scenario is facial identification, a forensic 1:1 comparison to be presented in court. MorphoTrak's Face Comparison training will follow guidelines established by the Facial Identification Scientific Working Group (FISWG), and will address facial review and facial identification. Attendees will learn about biometrics, facial anatomy, dermatology, image science, and image processing, as well as relevant legal issues and presentation in court. These topics will be taught in a three-to-five day classroom course with exercises, but can be provided in a shorter overview. MorphoTrak President and CEO, Celeste Thomasson, comments: Celeste Thomasson, President and CEO of MorphoTrak, stated, "We welcome Dr. Spaun's contribution to MorphoTrak's rapidly developing facial recognition offering, as well as her skill as a trainer in the techniques of face comparison. Dr. Spaun is a high-calibre forensic subject matter expert and has published numerous papers on manual comparison of people in images, developed a training program for forensic facial comparison, and served as the inaugural Chair of the FISWG Training and Proficiency Subcommittee. We are pleased to offer Dr. Spaun's expertise to our customers, partners, and the public safety community." *"Vendor-independent training" means that the techniques the course will teach work for all face examiners, no matter what face recognition software they are using.
The mobile system makes immediate identification of lost and deceased individuals possible The Pinellas County Sheriff's Office successfully deployed a MorphoTrak mobile identification solution that allows officers to capture and search fingerprints against state and national FBI databases from any location. The solution, supplied by the U.S. company MorphoTrak, part of the global Morpho (Safran) group of companies, consists of a Morpho Maestro gateway for system communications and 65 cell phone-size MorphoIDent mobile devices for capturing fingerprints in the field. Bill Schade, Fingerprint Records Manager for Pinellas County, commented, "Maestro is a powerful tool that enhances the benefit of the mobile devices. In the short time we have had the system, it has already had a significant effect on our ability to deliver security to our citizens and deputies." Within the first week of deployment, the mobile system identified an unknown subject as a wanted felony suspect by searching the FBI Repository of Individuals of Special Concern (RISC) database. In addition to criminal apprehension, the mobile system makes immediate identification of lost and deceased individuals possible when no other means of identification are available. MorphoIDent devices give deputies the ability to capture high quality fingerprints quickly and intuitively in a small package. The Maestro gateway provides the interface to state-wide and national fingerprint databases, and gives the Pinellas County Sheriff's Office the ability to track and report on device usage and outcomes. "The Pinellas County Sheriff's Office is experiencing the benefits of our mobile identification solution," observed Celeste Thomasson, President and CEO of MorphoTrak. "The Morpho Maestro is a revolutionary tool for access to biometric data within the law enforcement community. Capture devices small enough to fit in a deputy's pocket can now be used by any agency from almost any location in the U.S. to access a vast array of criminal identities in multiple AFIS systems. Morpho Maestro's proprietary management tools and techniques make this possible."
MorphoTrak, a Morpho (Safran) company based in the U.S., is pleased to announce that after only a year in operation, access to Hawaii's MorphoFace Investigate mugshot system is being expanded to all counties in the State. Hosted and maintained by the Hawaii Criminal Justice Data Center in Honolulu, the MorphoFace Investigate system provides fast and accurate facial searches, based on photos and videos. "Building on the partnership with the Honolulu Police Department, our largest local law enforcement agency, the State is expanding access to all counties in the State of Hawaii," said Liane Moriyama, Administrator of the Hawaii Criminal Justice Data Center, Department of the Attorney General. The database contains more than 450,000 photos with known identities. The MorphoFace Investigate system is able to link a crime to a suspect by matching facial images, as well as link different crimes by matching similar facial images. The system can also be used to search for missing and wanted persons when a photo is available. MorphoFace Investigate has enabled the Honolulu Police Department to identify previously unknown criminal suspects and homicide victims, as well as provide other critical investigative intelligence. It has also proven useful in analysing image frames from video and CCT to resolve identity theft cases. The accuracy of Morpho's facial recognition algorithms has been crucial to the use of this technology by Hawaii even with low resolution, poor quality imagery. Morpho's algorithms scored in the top tier in recent NIST tests which evaluate features significant to real world applications, including identification accuracy from a variety of image sources. "Honolulu Police Department's successful use and statewide expansion is a tribute to their advanced work with this important technology," commented Celeste Thomasson, President and CEO of MorphoTrak. "Our focused investment in this area will continue to bring real benefits to our many customers and the citizens they protect."
MorphoTrak has been at the forefront of fingerprint matching research and development since 1974 MorphoTrak, a Morpho (Safran) company based in the U.S., announced recently its 40th anniversary as the pioneer developer of Automated Fingerprint Identification Systems (AFIS). MorphoTrak traces its history in fingerprint matching to Rockwell Autonetics, which in 1974 built the first-ever Automated Fingerprint components for the Federal Bureau of Investigation (FBI). Rockwell spun off its fingerprint unit as Rockwell Printrak in the 1980s. Printrak was acquired by Motorola in the year 2000, and then by the leading fingerprint system vendor, Sagem Morpho (part of Safran), to become MorphoTrak in 2009. “MorphoTrak has been at the forefront of fingerprint matching research and development since our roots in 1974," stated Celeste Thomasson, President and CEO of MorphoTrak. "We are proud to be part of a technology legacy that is such an integral part of law enforcement and public safety in the U.S. and around the world." Over the past 40 years, AFIS technology has progressed significantly. Today, thanks to improvements in both matching algorithms and system architecture, AFIS systems are faster and more accurate, searching more data than ever before. The 1990s brought "composite" systems that were able to select the best prints available from multiple arrests of a single individual. In the early 2000s, "multi-incident" systems added the ability to also perform searches against each individual arrest record, and also against the flat impressions on a fingerprint card. The latest evolution in AFIS is the ability to search all areas of the hand known as "Major Case Prints". The FBI's NGI (Next Generation Identification) program has this new capability. This technology was provided by MorphoTrak and is also now available on MorphoBIS which is widely used by law enforcement across the U.S. Law enforcement agencies submitting prints to NGI now have an expanded searchable area of the hand well beyond the area covered in a standard tenprint records. The majority of prints left at crime scenes are comprised of prints not covered by the standard tenprint record. This leads to more crimes solved and safer communities, particularly with the new NGI system currently housing 120 million print records and performing over 10,000 latent searches per month.
Morpho (Safran) announced recently that its fingerprint matching technology placed first in the ongoing Minutiae Interoperability Exchange Test (MINEX) sponsored by the National Institute of Standards and Technology (NIST)*. Results published by NIST reveal that Morpho ranked first in all 3 major categories. All tests are done with fingerprint "templates" which are digital representations of fingerprint images created for matching and storage. Over 30 companies submitted technology for NIST testing. Morpho achieved top performance in the following areas: First in fingerprint matching accuracy using Morpho templates and matching algorithms. Morpho's matching results are 60% higher than the next closest vendor. First in template interoperability in which Morpho templates out performed all other templates no matter which vendor's matcher was used. Morpho's template interoperability results are 10% higher than the next closest vendor. First in matcher interoperability, where Morpho's matcher out performed all other matchers no matter which vendor template was used. Morpho's matching interchangeability scored 44% better than the next closest vendor. "The 2014 MINEX benchmark results confirm Morpho's leadership in the field of biometric identification," observed Celeste Thomasson, CEO of the U.S. company MorphoTrak. "For government agencies tasked with ensuring security and safety, using superior technology helps avoid security lapses, missed identifications and other serious vulnerabilities for law enforcement, border control, access control, traveller safety, etc. The results of Morpho's continuing R&D investments are apparent in these tests and in our growing list of worldwide customers who choose security as their top priority." Interoperability among various vendors and deployed systems is key to the exchange of records, and accuracy in matching for meaningful identification. Morpho-encoded fingerprints provide the greatest number of accurate matches, under the broadest range of conditions. *The NIST program's mandates are to measure and publish performance and interoperability of template and matching capabilities, and to establish compliance standards for template encoders and matchers for the U. S. Government's Personal Identity Verification (PIV) program. Test results for all compliant ongoing MINEX vendors are published on the NIST website at http://biometrics.nist.gov/cs_links/minex/ominex/test_status_table2a.pdf. In this table, Morpho is represented as 4S.