Embedded type finger print reconstruction accelerator and dynamic finger print reconstruction method

Abstract

The invention discloses a built-in fingerprint reconstruction accelerator. The accelerator comprises a frame collector, a frame buffer unit, a fingerprint reconstruction unit and a global control logic. The frame collector is connected with the frame buffer unit by a write address bus set and a write data bus set; the frame buffer unit is connected with the fingerprint reconstruction unit by a read address bus set and a read data bus set; the global control logic is respectively connected with the frame collector, the frame buffer unit and the fingerprint reconstruction unit by a control bus; and an image buffer area is connected with the fingerprint reconstruction unit by an internal bus. The invention also provides a method for realizing dynamic reconstruction in the processing course. The accelerator and the method have the beneficial effect of lowering the excessive consumption of the system resources such as a host processor, a memory and the like under the condition of enhancing the fingerprint reconstruction efficiency, which causes balance configuration of software and hardware resources in a SoC system structure and achieves global optimization of the system.

Description

technical field [0001] The invention relates to the fields of fingerprint reconstruction and SoC single-chip system integrated circuit, and mainly relates to an embedded fingerprint reconstruction accelerator and a dynamic fingerprint reconstruction method. Background technique [0002] Each person's fingerprint skin lines are different in patterns, breakpoints and intersections, which are unique and remain unchanged throughout life. Computer fingerprint identification technology is a technology based on this characteristic and using a computer or embedded processor to realize identity authentication. At present, embedded fingerprint identification devices have been widely used in criminal investigation, security and financial security and other fields. [0003] Acquisition of fingerprint images is a key step in the realization of embedded fingerprint recognition devices, and it is also one of the key factors affecting the performance of embedded fingerprint recognition dev...

AI Technical Summary

Problems solved by technology

When the software algorithm undertakes the collection of a large number of fingerprint image fragments, parameter calculation and image splicing, the calculation amount is complicated, the speed is slow, and the efficiency is low, which causes a great burden on the processor, as well as strict requirements such as main frequency and memory space.

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