Nexa|Fingerprint™ – Fingerprint Recognition Software

Biometric Algorithms and SDKs for Fingerprint Recognition and Fingerprint Authentication

Nexa|Fingerprint provides high-performance biometric algorithms for multistage fingerprint recognition and identification or rapid, high-volume fingerprint authentication.

Nexa SDKs provide biometric algorithms for fast and accurate biometric identification and authentication. They are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric enrollment and workflow software for over twenty years.

Nexa SDKs are designed to be easily configured towards optimization of a system for a given application, database, computing platform, and operational environment. They include configuration tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.

Nexa SDKs can be deployed on the Astra™ Automated Biometric Identification System (ABIS), a scalable biometric recognition and authentication platform that enables cluster computing optimized for rapid biometric search of extremely large databases, high-volume biometric authentication, as well as identity resolution.

Aware’s SequenceCheck, PreFace, and IrisCheck SDKs can be used in concert with Nexa libraries to perform optional quality assurance and preprocessing for enhanced fingerprint, face, and iris search functionality and performance.

fingerprint recognition software

Enhanced features with LiveScan API and SequenceCheck SDKs

  • Sequence checking
  • High-performance segmentation
  • ANSI/NIST ITL-1 2011 transaction parsing
  • Quality scoring
  • Live scan support
Learn about Nexa|Fingerprint™ Used with Astra™ ABIS


  • Fingerprint recognition
  • Fingerprint authentication
  • Automated fingerprint identification systems (AFIS)
  • Border management
  • Know Your Customer
  • Citizen ID and voting systems
  • Border management
  • Law enforcement
  • Defense
  • Employee screening


  • Fast, accurate, multistage fingerprint recognition algorithms
  • Well-designed, easy-to-use APIs
  • Fully scalable and extensible
  • Highly configurable and tunable for performance optimization
  • Fully leverages multicore processor power
  • Human-interpretable match scores that estimate false match likelihood
  • Portable between client and server hardware and OS, and database platforms
  • Support for all major image formats
  • Enhanced functionality with optional Aware image preprocessing and QA SDKs
  • C, .NET, JNI, and Web Service interfaces
  • Support for 32-bit and 64-bit Windows and Linux
  • Flats, rolls, and multi-finger images
  • One through ten fingerprints and 14-image sets
  • 1:1 biometric match, 1:many biometric search, deduplication
  • Human-interpretable match and confidence scores

API Functionality


  • Subject add, update, and delete
  • Automatic unique subject ID generation
  • Accept preprocessed image/metadata objects from other Aware SDKs


  • Match score from 1:1 comparison between two subjects or probe and selected subject
  • Match score(s) from 1:many comparison between probe and full gallery



  • Tools for performance optimization based on:
    -Database size/quality
    – RAM/CPU
    – Target speed/accuracy