Rank One Computing’s Fingerprint Segmentation Algorithm Ranks Among Global Top 3 in NIST Benchmark

Rank One Computing’s Fingerprint Segmentation Algorithm Ranks Among Global Top 3 in NIST Benchmark

Rank One Computing (ROC.ai), a leading American computer vision and biometric algorithm creator, is proud to announce that its fingerprint segmentation algorithm has not only emerged as the best-performing solution but also ranks among the top three globally. This recognition comes from the esteemed National Institute of Standards & Technology’s (NIST) latest benchmarks.

The achievement highlights ROC.ai’s unwavering commitment to pushing the boundaries of domestic algorithm development. It solidifies their position as pioneers in advanced biometric solutions. Just last summer, the initial release of ROC.ai’s fingerprint algorithm quickly propelled them to the top of the leaderboard. The recent benchmarks reaffirm their dedication to continuous improvement and top-tier performance.

NIST, internationally recognized as the gold standard in biometrics, rigorously evaluated numerous fingerprint segmentation algorithms from contenders worldwide in their most recent assessments. ROC.ai’s latest offering, known as SlapSeg in the NIST benchmark, outshone its domestic rivals in terms of unrivaled accuracy and hardware efficiency. These benchmark results provide a glimpse of the impressive new features that ROC.ai plans to offer its clients this year. Enhancements to their signature software development kit (ROC SDK) and the live video analytics platform (ROC Watch) will reinforce ROC.ai’s goal of driving the biometric industry towards intelligent solutions that foster safer communities.

But what exactly is fingerprint segmentation? It refers to the automated process of separating an image of a group of fingers into individual images of each finger. Typically, one grouping consists of four fingers, covering the index finger through the little finger, while the other grouping captures two thumbs. For algorithms to gather and match data, one of the initial steps is to precisely identify and label each finger on a hand. Then, the algorithm extracts minutiae points that contribute to template creation. This template serves as a probe for comparing against similar fingerprints within a database.

Each piece of technology developed by ROC.ai is a testament to American craftsmanship, stemming from cutting-edge research conducted across the nation’s labs and home offices. Their robust domestic operations offer a 100% American-made option for the global biometric, identity, and computer vision markets.

We are thrilled by the outstanding results we have achieved with this groundbreaking capability, expressed the CEO of ROC.ai. The commendations we have received, both domestically and internationally, speak volumes about the precision and reliability of our fingerprint segmentation algorithm. It is a tribute to our team’s incredible skill, unwavering commitment, and trailblazing spirit.

Rank One Computing is relentless in its pursuit of redefining the boundaries of biometric and computer vision technology. With imminent upgrades to flagship products like ROC SDK and ROC Watch, coupled with the latest performance statistics, ROC.ai is poised to firmly establish itself as the forefront of biometric security innovation in this new era.

Founded in 2015 and headquartered in the United States, this employee-owned technology company has cemented its position by serving a diverse range of markets and missions. From Fintech to Public Safety, National Security, Commercial Security, and beyond, ROC.ai has made its mark. Backed by elite engineers and computer vision scientists, the company consistently delivers solutions that reflect their commitment to innovation, integrity, and the ethical use of technology.