A dynamically reconfigurable QC-LDPC implementation for iris recognition
Extracting and analyzing iris textures for biometric recognition has been extensively studied.
Extracting and analyzing iris textures for biometric recognition has been extensively studied.
A RISC-V SoC (system on chip) based on visible light communication (VLC) for mobile payment application is presented.
The paper proposes a method to reuse IEEE 802.11n LDPC codes onto an iris recognition system based on an embedded device.
We propose a new iris verification framework for an embedded system which uses IrisMatch-CNN as feature extraction and classification.
An iris recognition system is implemented with certain LDPC codes which have the ability to correct intrinsic fuzziness.
We focus on an iris recognition system implementation with an error correction scheme, namely QC-LDPC
This paper presents a data packing technique for Quasi-Cyclic LDPC codes decoder applied to NAND flash controller.
We proposed an optimized BPU to perform all the operations of check nodes and variable nodes of a QC-LDPC decoder.