• FingerCell SDK

 

FINGERCELL SDK
FINGERPRINT IDENTIFICATION FOR EMBEDDED PLATFORMS
FingerCell technology is designed for embedded biometric systems developers and features compactsensor-independent and cross-platform fingerprint recognition algorithm. It offers decent performance on various embedded devices based on low-power microcontrollers or processors.
FingerCell is available for integrators as Software Development Kits (SDK) with FingerCell library or source code for developing a fast and reliable system on embedded or mobile platform.

FINGERCELL SDK
嵌入式指纹识别SDK
FingerCell技术是为嵌入式生物识别系统开发人员和特性设计的。紧凑型、与传感器无关跨平台指纹识别算法。它基于低功耗微控制器或处理器的各种嵌入式设备,提供了与硬件相称的良好性能,
FingerCell为集成商提供软件开发工具包(SDK),也可提供FingerCell库或源代码,用于在嵌入式或移动平台上开发快速可靠的系统。

FEATURES AND CAPABILITIES

  • Fast performance even on low speed processors.
  • Verification (1-to-1 matching) and identification (1-to-many matching) are provided.
  • Compact fingerprint template and unlimited database size.
  • ANSI and ISO biometric standards support.
  • Cross platform algorithm with compact portable source code.
  • FingerCell Demo Unit with pre-installed algorithm is optionally available.
  • Reasonable prices, flexible licensing and free customer support.

产品特点和功能

  • 即使在低速处理器上,性能也够快。
  • 提供验证(11匹配)和标识(1N匹配).
  • 紧凑的指纹模板和无限制的数据库大小。
  • ANSIISO生物识别标准支持。
  • 跨平台算法与紧凑的源代码。
  • Fingercell演示单元与预装算法随时可以提供。
  • 合理的价格,灵活的许可和免费的客户支持。

 

FingerCell is designed to provide decent reliability and identification speed for various embedded devices and platforms. The FingerCell algorithm includes these proprietary solutions:

  • Fast performance. Fingerprint template extraction from an image and verification against another template can be performed in less than less than 0.7 seconds on a 168 MHz ARM Cortex-M4family processor, which is acceptable for embedded systems.
  • Identification ability. FingerCell is suitable not only for fingerprint verification (1-to-1 matching), but also for identification (1-to-many matching). The algorithm matches about 250 fingerprints per second in 1-to-many mode on a 168 MHz ARM Cortex-M4 family processor.
  • Adaptive image filtration. This algorithm eliminates noises, ridge ruptures and stuck ridges for reliable minutiae extraction even from poor quality fingerprints.
  • Compact fingerprint template. FingerCell template size depends on the number of stored minutiae – for example, a template with 16 minutiae needs only 152 bytes of memory, whereas a template with 64 minutiae needs 448 bytes. Combined with configurable maximal number of minutiae in a template and unlimited database size, the target system size and performance can be optimized according to customers requirements.
  • ANSI and ISO/IEC standards support. FingerCell SDK can generate and match fingerprint templates in the ISO/IEC 19794 and ANSI/INCITS 378 family formats
  • Tolerance to fingerprint translation and rotation. Such tolerance is achieved by FingerCell proprietary fingerprint matching algorithm. The algorithm is able to identify fingerprints even if they are rotated and translated.
  • Compact portable software. FingerCell is designed for easy implementation into very various and specific applications. The algorithm's source code is sensor independent; therefore it can be ported to various platforms and hardware. Compiled code and internal data arrays require only 128 kB of memory and therefore can be implemented in low memory microchips, thus reducing hardware costs.
  • FingerCell Demo Unit. Neurotechnology offers pre-installed FingerCell algorithm on testing hardware for the technology evaluation. The Demo Unit is available on request.

FingerCell旨在为各种嵌入式设备和平台提供良好的可靠性和识别速度。FingerCell算法包括以下专有解决方案:

  • 性能很快 从图像中提取指纹模板并对另一个模板进行验证可以在少于0.7秒内完成(168ARM Cortex-M4系列处理器),这是可接受的嵌入式系统。
  • 识别能力 FingerCell不仅适用于指纹验证(1:1匹配),也适用于识别(1对多匹配).该算法与每秒250个指纹(168兆的ARM Cortex-M4系列处理器上),以1对多模式运行.
  • 自适应图像过滤该算法消除了噪声、脊线破裂和粘脊,即使从质量较差的指纹中提取细节信息也是可靠的。
  • 紧凑的指纹模板。FingerCell模板大小取决于存储的细节数-例如,带有16个特征点的模板只需要152个字节,而一个64特征点的模板需要448字节。结合模板中可配置的******细节数和无限数据库大小,目标系统的规模和性能可以根据客户的要求进行优化。
  • ANSIISO/IEC标准支持  FingercellSDK可以在ISO/IEC 19794Ansi/INCITS 378系列格式和标准。
  • 对指纹平移和旋转的容忍度。这种公差是通过Fingercell专有指纹匹配算法实现的。该算法能够识别指纹,即使指纹是旋转和平移的。
  • 紧凑的便携式软件。FingerCell的设计是为了将其简单地实现到非常多样化和特定的应用程序中。算法的源代码是独立于传感器的,因此它可以移植不同的平台和硬件。编译的代码和内部数据数组只需要128 kB内存因此可以在低内存微芯片上实现,从而降低硬件成本。
  • Fingercell演示单元。神经技术提供硬件测试中的FingerCell预装算法用于技术评估。演示股可根据要求提供。