Neurotechnology Multimodal Face and Fingerprint Identification Ensure Accuracy for Bangladesh Elections

Neurotechnology, a provider of biometric identification technologies, announced that the Bangladesh Army selected MegaMatcher SDK multi-biometric technology to identify duplicate registrations in the nation's voter database. The Bangladesh Voter Registration Project registered more than 80 million citizens using biometric face and fingerprint technology. After evaluating a number of biometric technologies for their duplicate search system, the Bangladesh Army determined that MegaMatcher from Neurotechnology was able to identify more duplicate registrations with a higher degree of accuracy than any other system tested. System integrator Dohatec New Media was hired to help design and implement the MegaMatcher-based system.


MegaMatcher provides the high speed and reliability required for the development of national-scale automated fingerprint identification systems (AFIS) and multi-biometric face/fingerprint identification systems. Suitable for both civil and forensic use, MegaMatcher includes both fingerprint and face identification engines with a fusion algorithm that allows the two technologies to work together to provide very fast 1:N (1 to many) matching with even higher reliability than AFIS or facial recognition alone.


The MegaMatcher fingerprint recognition algorithm has received full NIST MINEX certification for use in the US Government Personal Identity Verification program fingerprint recognition applications. MegaMatcher supports BioAPI 2.0 and most other biometric industry standards and can be used in conjunction with other Neurotechnology products, including VeriFinger, VeriLook and the FaceCell and FingerCell embedded development kits.