Abstract

The objective of the work is to develop new algorithms for error-correcting coding in biometric systems that best meet modern challenges for such systems. The article presents directions of biometric system development that take into account the prospects of their use in combination with modern network technologies, methods of cognitive data processing, cryptographic systems and artificial intelligence. The objective necessity for developing advanced error-correcting coding methods in such systems is proved that meets the increased requirements for the reliability of the processed data and its processing speed in real time. It is proposed to use a cascade design for processing block redundant codes with a system for cluster processing of polar codes (PC) at the internal decoding stage and cognitive processing of Reed-Solomon (RS) code combinations at the external decoding stage.

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