A Leader in Biometric Identification
Throughout history, fingerprints have been used to establish individual identity. The first known use, in Babylonia and ancient China, was in the third century B.C. In the late 1800s, Sir Edward Henry developed a method to classify fingerprints based on characteristics so that a large fingerprint archive could be segmented to provide an efficient method for performing identifications. After this process was introduced at Scotland Yard in 1901, fingerprint searches became a common tool for criminal identification worldwide. With the advent of computerized database systems, this process was somewhat automated beginning in the late 1970s.

In the 1990s, Cogent Systems provided a technology breakthrough by applying data flow computing for high-speed biometric comparisons. This eliminated the need for segmenting databases with various classifiers that are often unreliable. For the first time, Cogent removed the technology barriers which constrained system accuracy, database size, throughput, and response time.

Today, Cogent Systems is raising the standard to even greater heights. By incorporating concepts from fluid dynamics theory with data flow computing technology, Cogent provides proven, cost-effective identification solutions with accuracy and throughput processing never imagined - a new wave of identification technology for the new millennium.

Innovations
Commitment to technological leadership requires constant research and development. Building on our leadership of the past decade, we are continually improving our technology in the areas of image processing, neural networks, matching algorithms, fault-tolerant pipeline data flow computing, data compression, encyrption/coding, scalable architectures, and user engineering.

To validate new technology solutions, real databases with millions of records are utilized with unique simulation tools to scientifically model the universe of possible biometric variations. We offer complete scalable biometric identification systems with over 99.9% accuracy. We have scaled complete systems to a single ASIC chip offering fingerprint, facial, and voice matching at the chip level.