PAPILLON AFIS Multibiometric Identification System

On offer: AFIS-8.4 and AFIS-9

Multibiometric data banks of unlimited size for such criminal justice and civil purposes as personal registration/identification:
– by fingerprints and palmprints
– by facial images
– by iris images
Automatic processing and identification of incoming biometric information, including fingerprints and palmprints from crime scenes, for forensic experts, law enforcement and supervisory authorities, other government agencies.
Real-time biometric instant identification of individuals.



Creation of large-scale systems with data banks of any size for the effective implementation of biometric projects of varied target areas:

  • criminal justice records
  • voluntary and compulsory (for personnel) registration of citizens
  • border and migration control systems
  • passport and visa documents circulation systems
  • organization of election campaigns and social programs
  • universal population registration

Tasks Performed:

  • establishing/confirming the identity of citizens by fingerprints, facial and iris images, including in real-time
  • solving crimes by latent finger and palm prints, evidential photos
  • identifying the unknown dead
  • establishing involvement of an individual in earlier crimes
  • linking crimes committed by the same individual


  • Biometric array formation:
    • Registration cards (tenprints)
    • Latent finger and palm prints
    • Photographic records (facial portraits or composites of unidentified individuals)
  • Automatic encoding of all tenprints (fingerprints and palmprints, facial images, iris images)
  • Automatic and interactive (if necessary) encoding of latent prints
  • Automatic encoding of of photographic records
  • 13 types of automatic searches (include formation of candidate lists):
    • tenprint to tenprint (fingers)
    • tenprint to tenprint (palms)
    • tenprint to tenprint (facial image)
    • tenprint to tenprint (iris image)
    • tenprint to latent (fingers)
    • tenprint to latent (palms)
    • tenprint to photographic record
    • latent to tenprint (fingers)
    • latent to tenprint (palms)
    • photographic record to tenprint
    • latent to latent (fingers)
    • latent to latent (palms)
    • photographic record to photographic record
  • Automatic real-time identity verification based on requests from fixed and mobile peripheral stations (without the formation of candidate lists):
    • Fingerprint check against an array of tenprints
    • Face image check against an array of tenprints
    • Check of demographic data against an array of tenprints
    • Fingerprint check against an array of unsolved latent prints
  • Comprehensive functionality for operation with databases and candidate lists, statistical analysis and report generation
  • Data exchange with AFIS from other manufacturers (ANSI/NIST (RUS-I, Interpol, EFTS, EBTS))
  • Data exchange with face and iris recognition systems from other manufacturers
  • Integration with external systems: access to the text part of the AFIS database through SQL queries and web browsers (PAPILLON Polyphem software)



PAPILLON AFIS supports import/export of information (finger and palm print images, appearance and iris images, text data) for registration and/or database checks.

Replenishment of PAPILLON AFIS databases is possible through desktop-clients, from other databases, and with the use of the following PAPILLON products:

The results of identifications, including those of express ID checks, can be transferred to:



Composition of the database record (maximum possible):

Registration card (tenprint):

  • biograhic data in text form
  • rolled or flat prints of ten fingers
  • control impressions of the four fingers taken simultaneously and thumbs of both hands
  • palm impressions:
    • full impressions (from fingertips to palm base)
    • upper and lower palm impressions (from the tips to the base of the fingers and from the base of the fingers to the base of the palms, respectively)
    • side impressions (“writer’s” palms)
  • full-face image
  • iris images
  • photos of appearance and distinctive features (up to 100 images)
  • verbal description of appearance
  • graphic signature sample
  • images of tenprint pages (for paper tenprints)
  • additional biometric characteristics

Registration record of a latent fingerprint / palmprint:

  • descriptive data associated with a case
  • latent print image
  • latent print card image (for paper cards)
  • additional images (up to 100 images)

Photographic record registration:

  • descriptive information
  • portrait
  • additional images (up to 100 images)

Information sources:

Database size:


Reliability and accuracy of fingerprint and palmprint searches (50 million tenprints in the database)

Average size of candidate lists:

  • Tenprint to tenprint: 1-2 candidates, the true candidate appears at the top in 100% of the cases with 100% hit rate
  • Latent to tenprint: the length of the list is 20 candidates, the true candidate appears at the top in 85% of the cases, in 90-95% of the cases the true candidate is among the first five entries of the candidate list with a hit rate of at least 85%
  • Tenprint to latent: 2-3 candidates, in the vast majority of cases the true candidate is at the top of the list with a hit rate of at least 85%

Import/export formats:

  • Papillon
  • ANSI/NIST (RUS-I, Interpol, EFTS, EBTS)


  • FBI WSQ compression of images (compression of finger and palm print images without noticeable loss of quality; the maximum compression rate is 1:15)
  • FBI “IAFIS IQS”: CJIS-TD-0110 and CJIS-RS-0010 (quality of images taken with fingerprint scanners meets the FBI specifications)
  • Dactyloscopy GOST R 58298-2018, ISO/IEC 19794-2 and 19794-4 (biometric data exchange format complies with the Russian Federation national standard)
  • Full-face image ISO/IEC 19794-5 (the format of biometric data exchange corresponds to the Russian Federation national standard)

Operating system:

  • RedHat Enterprise Linux 6.x, 7.x
  • CentOS 6.x, 7.x
  • Astra Linux SE 1.4, 1.5, 1.6
  • Windows 7, 8, 10



Components and database:

  • Operator Workstation (OW) – Desktop application (thick client)
  • Central server with PAPILLON DBMS
  • Matchers – processing and search server modules
  • Backup server – module for backing up critical database components
  • Data Exchange Server – module for converting information from other databases (Oracle, etc.)
  • Data repository – data storage and backup server. It consists of disk drives and an Oracle/PostgreSQL server designed to allocate the text part of the AFIS database as a separate database, open for work through web browsers and interoperation with external systems.

Subject to licensing:

  • Operator workstation (the number of simultaneous sessions is subject to licensing, the number of operators is not limited)
  • Local workstation (the number of simultaneous sessions and the possibility of remote access to the centralized AFIS database are subjects to licensing)
  • Matchers (restrictions apply to the number of searches for a specified period of time. E.g. the latent-tenprint search allows for 50 requests per day)
  • Central server

Not subject to licensing: Backup server, data exchange server and data repository.

Contact our managers for further details.





  • High level of effectiveness of the system proven by:
    • a large number of implemented large-scale projects with multi-million databases
    • the facts of replacing other manufacturers’ AFISs with PAPILLON AFIS
  • Flexible, scalable architecture, support of an unlimited database size
  • Multibiometric database format, identification/verification of a person by several biometric features
  • Technologies generating high-quality biometric arrays:
    • LIVE SCANNER Multibiometric Enrollment System
    • high-quality photography of latent prints in different illumination modes (PAPILLON-Fosko, PAPILLON-ExpertLab)
    • AFIS tools and filters to improve the quality of latent prints, separate overlapped latent prints, remove underlying texture, etc.
  • High-precision proprietary algorithms for recognition and comparison of biometric images (fingerprints, face and iris images)
  • Work with latent and known palmprints

Work with latents containing a small number of minutiae:

  • fingerprints with at least four and palmprints with at least six minutiae are suitable for input into PAPILLON AFIS
  • in the Russian AFIS databases, about 43% of latents have a small (<17) number of minutiae, which amounts to ~29% of all cases of identifications


  • No special requirements to input fingerprint images in a uniform scale: compensation for any scale changes and distortions of fingerprints: due to age, post-mortem, resulting from trauma or disease.
  • Automatic encoding of all tenprints and latents:
    • high speed of arrays formation
    • elimination of encoding errors and associated omissions of “tenprint-to-tenprint”, “latent-to-tenprint”, “tenprint-to-latent” matches
  • High reliability and selectivity of comparisons, incl. the following cases:
    • latent and known palmprints
    • unknown position of a finger or palm
    • unknown type of finger pattern
    • any deformation or distortion of a papillary pattern
    • unknown orientation of the latent relative to the fingerprint
    • scars and skin lesions
    • a few minutiae on the latent
  • Stability of search performance on any size of the database without prior selection of tenprints and latents by quality
  • A special algorithm of work with tenprints of the unknown dead: the highest probability of matching with an life-time tenprint
  • High precision “tenprint-to-latent” searches (most manufacturers of criminal justice AFISs did not solve this issue):
    • short candidate lists with the native candidate at the top positions
    • complete symmetry of “tenprint-to-latent” and “latent-to-tenprint” searches in all parameters:
      • reliability and accuracy
      • number of identifications and false matches per million comparisons
      • time spent on verifying candidate lists
  • Search against plain impressions:
    • Not only rolled fingerprints but also plain impressions are involved in latent-tenprint and tenprint-latent searches
    • About 11% of all matches for latent prints are those made against plain impressions, which would be impossible without this type of search (in data arrays, where the percent of tenprints containing slaps is no less than 50%)
  • Tenprint-tenprint search by palmprints: positive identifications even if the fingerprint quality in tenprint cards is very low
  • Tenprint-tenprint search by face and/or iris images:
    • improves the reliability of identifications in AFIS
    • allows information about personal identity to be obtained even in the absence of fingerprint information
    • expands the use of AFIS
  • Special methods (filters) for working with candidate lists generated for latents:
    • reduce time for verifying top (visible) parts of candidate lists to get identifications
    • enable additional identifications from invisible (hidden) parts of candidate lists that are not available if the filter is not applied
  • Neural network algorithms for analyzing candidate lists:
    • enable 80-90% identifications from top (visible) parts of candidate lists, reducing labor costs by tens of times
    • enable extra identifications from invisible (hidden)parts of candidate lists that are not available when the traditional method of verification is used
  • Technology of automatic express ID checks against tenprint databases in real time:
    • Requests from fixed and mobile stations (IP connection) are received to verify persons’ identity
    • Persons’ identity is established/confirmed by fingerprint and/or facial images and/or demographic data
    • Check time is a few seconds (if high-speed communication channels are used)
    • Result of the check contains text data and photos from all matches (tenprints) found in the database
  • Technology of automatic express checks of fingerprints against an array of unsolved latents:
    • Revealing the facts of the person’s complicity in illegal activities or crimes previously committed
    • Result of the check:
      • positive – the system is sure that the latent from unsolved crime scene found in the database belongs to the person being checked
      • confirmation required – the result must be reviewed and confirmed by a forensic expert
      • negative – no unsolved latents belonging to the person being checked were found in the database