The MorphoSmart MSO300 Series

• Excellent fingerprint image quality: large capture surface, FBI PIV IQS certification
• Enrollment, 1:1 verification and 1:N identification capabilities
• High accuracy: embedded FIPS 201 and MINEX compliant algorithms
• Large internal database capacity: up to 5000 users (2 templates each)
• Options: fake finger detection, smartcard reader, security features
• A versatile device that carries out both enrollment and comparison (1:1 authentication and 1:N identification)
• Excellent fingerprint capture and processing performance with the largest single fingerprint optical sensor on the market (23x23mm, 500 dpi, 256 grey levels)
  – Authentication < 0.7 sec (1)
  – Identification < 0.9 sec in 1:1000 mode(1)
  – Top grade solution to register young or elderly people, manual laborers (mining, textile, etc.)
• Overall performance certified at the highest levels:
  – FBI PIV IQS (image quality)
  – MINEX compliant algorithms
  – FIPS 201
  – STQC
  – Common Criteria for fingerprint spoof detection (certified by BSI(2))
• Accurate: the false acceptance rate (FAR) is configurable down to 10-8 – depending on the security requirements – and maintained regardless of number of users in database
• Large database capacity: from 500 up to 5000 users (with license)
• Guides the user and automatically controls the image quality during fingerprint capture
• Multiple template & image formats:
  – ISO 19794-2, ANSI/INCITS 378, Morpho Proprietary
  – ISO 19794-4, WSQ compressed image
• Options:
  – Smartcard reader
  – Fake finger detection (Common Criteria certified)
  – Security features to protect the communication channel between host and device (integrity check, data encryption)
  The MorphoSmart™ SDK is available to integrate easily the MSO 300 Series into various applications and use its embedded capabilities:
  – Compatible with Windows XP, Vista, Seven, Server, CE/ Mobile and Linux
  – Includes a BioAPI interface
• NB: Low level protocol (ILV) is also available
• The MSO 300 Series can also be used with MorphoKit™, advanced SDK for the capture and processing of fingerprint images, authentication and identification