Tattoo
Recognition
Enable precise identification through the distinct narratives
inked on skin. Next-gen tools, workflows, and algorithms
battle tested for law enforcement and intelligence.



Tattoos tell a story. Harness the power of ROC Vision AI to identify unknown subjects through their tattoos – even when traditional biometrics fall short.
The industry-leading tattoo matcher.

100x faster than industry standard
Postmortem identification
Crime scene investigation
Forensic intelligence
Human trafficking
Counterterrorism

100x faster than industry standard
Postmortem identification
Human trafficking
Crime scene investigation
Counterterrorism
Forensic intelligence
Precision-engineered biometric identification.
True Acceptance Rate
False Acceptance Rate
American Made
Template Generation Speed
Comparison Speed
Template Size

Deployed by
DOD | DOS | US NAVY | US MARSHALS | FBI
AMERICA’S
FINEST
trained on vast, ethically sourced datasets and precisely annotated training data.
01
Easy to integrate
Integrate into any system, platform, or device with ROC SDK. Effortlessly incorporate transformative tattoo matching with just a few lines of code or access the entire suite of ROC multimodal capabilities.
02
Functional and lightweight
03
Built with best practices
04
Powered by responsible AI
100% made in America, ROC upholds an industry-leading code of ethics to actively mitigate the threat of poison AI. This commitment has earned the trust of the U.S. military, top law enforcement agencies, and global FinTech brands.
PRODUCTS

Reimagine What’s Possible
Tap into the power of the all-in-one ROC SDK. Integrate gamechanging biometric and Vision AI capabilities with just a few lines of code.
PRODUCTS


Reimagine What’s Possible
Tap into the power of the all-in-one ROC SDK. Integrate game changing biometric and Vision AI capabilities with just a few lines of code.

What is tattoo matching?
Tattoo recognition is an innovative technology designed to help law enforcement identify suspects when facial or fingerprint images aren’t available. By analyzing unique features such as scars, marks, and tattoos, it offers a more precise identification method than broader traits such as race, gender, or age. These unique markings tell a story, providing critical insights into the identification of victims and suspects, and revealing clues about personal information, beliefs, or gang affiliations. This modality enhances investigative capabilities and strengthens law enforcement resources, making it invaluable in solving cases and ensuring public safety.
Build with ROC.
Schedule a free trial or demo.
FREQUENTLY ASKED QUESTIONS
What is a Tattoo Recognition SDK?
Tattoo Recognition SDK is a software development kit that enables integration of advanced tattoo recognition software into applications, providing powerful tools for law enforcement, intelligence, and other industries.
How does tattoo detection and recognition technology work?
Tattoo detection and recognition technology works by using image processing algorithms that analyze the features of a tattoo, such as its color, size, and shape. The technology then matches these features with a database of known tattoos to identify the tattoo's meaning, origin, or potential associations.
What can tattoos recognition & identification software be used for?
How can a Tattoo Recognition SDK be used by law enforcement agencies?
How does the ROC SDK tattoo recognition algorithm work?
What is the true acceptance rate of the tattoo recognition algorithm?
Can the tattoo recognition software identify tattoo locations on the body?
Is the tattoo recognition software compatible with other biometric and computer vision capabilities?
How does the tattoo recognition algorithm perform in a 1:1 comparison accuracy evaluation?
Can ROC tattoo recognition software help identify deceased victims?
Is the Tattoo Recognition SDK easy to integrate into existing applications?
What makes the Rank One Computing Tattoo Recognition SDK better than other solutions?
Our tattoo recognition SDK includes key features like fast and accurate biometric matching results, seamless software integration, compact feature vector representation, accurate detection and localization of tattoos, and identification capabilities for difficult cases.
How does the tattoo recognition algorithm compare to NIST Tatt-E results?
When measured at a False Accept Rate of 0.001%, the ROC algorithm achieves a True Accept Rate of 90.8%, outperforming the industry-leading solution (72.1%) by a wide margin.