• MegaMatcher On Card SDK


MegaMatcher On Card SDK offers matching-on-card technology that stores a person's fingerprint, iris and face templates on a smart card and performs template matching in a microprocessor embedded in the card, instead of matching biometric information on a PC processor.
The match-on-card method ensures that personal biometric information does not transfer to an external computer as it would in a more basic template-on-card system.

MegaMatcher on Card SDK提供匹配的卡上技术,将个人指纹、虹膜和人脸模板存储在智能卡和在卡中嵌入的微处理器中执行模板匹配。而不是在PC处理器上匹配生物特征信息。



  • NIST MINEX-compliant fingerprint engine
  • PC-like verification accuracy
  • Configurable verification modes
  • Security and privacy
  • Multi-biometrics support
  • ISO/IEC standards support
  • Easy integration with existing systems
  • Different smart card platforms supported


  • 符合NIST MINEX的指纹引擎
  • 类似PC平台的验证精度
  • 可配置验证模式
  • 安全和隐私
  • 支持多模态生物特征识别
  • ISO/IEC标准支持
  • 易于与现有系统集成
  • 支持不同的智能卡平台


MegaMatcher On Card 11.0 is based on MegaMatcher multi-biometric AFIS technology and provides a number of advantages over a standard fingerprint / face / iris identification system or similar products for smart cards, including:

  • NIST MINEX-compliant fingerprint engine. MegaMatcher On Card algorithm for fingerprint matching on a smart card is compliant with the same NIST MINEX III criteria used to evaluate much more resource-intensive PC-based algorithms. See our comments for more details.
  • PC-like verification accuracy. MegaMatcher On Card provides the same level of accuracy of an AFIS (automated fingerprint identification system) in a verification process using ISO/IEC 19794-2 compact card minutiae format templates together with the security of storage of biometric templates and matching algorithm on a smart card. Face and iris modalities on-card verification precision conforms to the large scale multi-biometric MegaMatcher SDK accuracy rates of Neurotechnology's compact format templates matching. See the reliability testing results.
  • Configurable verification modes. MegaMatcher On Card fingerprint algorithm has different performance configurations that can be chosen according to the operating scenario, the requirements to matching accuracy, the smart card platform speed and memory constraints.
  • Security. Biometric verification can replace or be combined with less secure (e.g., PIN) authentication techniques to achieve higher security.
  • Privacy. The original template remains on the smart card, providing a safeguard against misuse of information or fraudulent scanning systems.
  • Multi-biometrics support. The face and iris matching engines can be used as an additional or alternative factor of authentication that enhances the fingerprint verification. Fingerprint, iris and face templates can be stored on a single card together with the fingerprint, iris and face matching algorithms.
  • ISO/IEC standards support. MegaMatcher On Card 11.0 SDK is compliant with the following standards:
    • ISO/IEC 7816-3
    • ISO/IEC 7816-4
    • ISO/IEC 7816-9
    • ISO/IEC 7816-11
    • ISO/IEC 19794-2 (compact size finger minutiae card format)
  • Easy integration with existing systems. Implementing the system will not require major overhauls of existing infrastructure, as MegaMatcher On Card SDK is developed utilizing a set of ISO/IEC standards to enable interoperability with and easy integration into existing smart card and/or biometric systems. The process of fingerprint, iris and face enrollment during the card issuance, often connected to the avoidance of emission of duplicates, can also be developed with VeriFinger, VeriEye, VeriLook or MegaMatcher components that are fully compatible with MegaMatcher On Card. This provides the advantages of both using the whole set of features of Neurotechnology proprietary templates format to improve the accuracy of duplicates searching and the possibility to ensure the quality of the biometric data stored into the card.
  • Different smart card platforms supported. MegaMatcher On Card can be integrated at different stages of the card life cycle for various smart cards platforms. The post-issuance library gives the possibility to rapidly integrate match-on-card in projects where time constraints are critical. On the other hand the possibility to store the code directly into the ROM mask and the partnership with several card vendors offer a faster match-on-card solution and the possibility to maintain more EEPROM available for post-issuance applications.


  • 符合NIST MINEX的指纹引擎。智能卡上指纹匹配的MegaMatcher算法与相同的NIST兼容MINEX III用于评估更多资源需求的基于PC的算法的标准。
  • 类似PC的验证准确性。卡上的MegaMatcher在使用ISO/IEC 19794-2紧凑型卡格式模板的验证过程中提供了与自动指纹识别系统(AFIS)相同的精度,以及生物识别模板的存储安全性和智能卡上的匹配算法。人脸和虹膜模式的卡上验证精度符合大型多生物识别系统MegaMatcherSDK的准确率,是神经网络技术的紧凑格式模板匹配。
  • 可配置验证模式MegaMatcher on Card指纹算法具有不同的性能配置,可以根据操作场景、匹配精度要求、智能卡平台速度和内存约束选择。
  • 保安。生物特征验证可以取代安全性较低的(如PIN)认证技术,也可以与其结合使用,以获得更高的安全性。
  • 隐私。原模板保留在智能卡上,为防止滥用信息或欺诈扫描系统提供了保障。
  • 多生物识别技术支持。人脸和虹膜匹配引擎可以作为增强指纹验证的附加或替代认证因素。指纹、虹膜和人脸模板可以与指纹、虹膜和人脸匹配算法一起存储在一张卡片上。
  • ISO/IEC标准支持。卡11.0SDK上的MegaMatcher符合以下标准:
    • ISO/IEC 7816-3
    • ISO/IEC 7816-4
    • ISO/IEC 7816-9
    • ISO/IEC 7816-11
    • Iso/iec 19794-2(紧凑型手指细节卡格式)
  • 易于与现有系统集成。实施该系统将不需要对现有基础设施进行重大改革,因为MegaMatcher on Card SDK是利用一套ISO/IEC标准开发的,以便能够与现有智能卡和/或生物识别系统进行互操作性和易于集成。在发卡过程中,指纹、虹膜和面部登记的过程通常与避免重复发布相关联,也可以与VeriFinger、Veriye、VeriLook或MegaMatcher组件开发,这些组件与卡上的MegaMatcher完全兼容。这提供了两个优点,既使用了一整套神经技术专有模板格式,提高了重复搜索的准确性,又保证了存储在卡片中的生物特征数据的质量。
  • 支持不同的智能卡平台。对于不同的智能卡平台,卡上的MegaMatcher可以在卡生命周期的不同阶段进行集成。发行后的图书馆提供了在时间限制很关键的项目中快速集成卡上匹配的可能性。另一方面,将代码直接存储到ROM掩码中的可能性以及与几个卡片供应商的合作提供了一种更快的卡上匹配解决方案,以及维护更多EEPROM用于发行后应用程序的可能性。