High-resolution fingerprint retrieval method, device and system based on sweat pores and multi-graph matching and storage medium

Abstract

The invention provides a high-resolution fingerprint retrieval method based on sweat pores and multi-graph matching. The high-resolution fingerprint retrieval method sequentially comprises the following steps: a high-resolution fingerprint registration step: establishing and calculating a binary feature vector of registered sweat pores extracted from registered fingerprints of a registration library; a sweat pore retrieval step: establishing and calculating a binary feature vector of a test sweat pore extracted from the test fingerprint; a multi-graph matching step: extracting required nearestneighbor training sweat pores for each test sweat pore, and removing wrong nearest neighbor training sweat pores by adopting a multi-graph matching algorithm in combination with the spatial distribution relationship of the test sweat pores; and an output step: finally recommending a candidate fingerprint sequence according to a result of the sweat pore retrieval step. The high-resolution fingerprint retrieval method disclosed by the invention has the beneficial effects that retrieval is carried out through the sweat pore local characteristics in the fingerprint, and as sweat pores are richerthan other characteristics, the high-resolution fingerprint retrieval method can effectively improve the fingerprint retrieval precision.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a high-resolution fingerprint retrieval method, device, system and storage medium based on sweat pores and multi-image matching. Background technique [0002] Fingerprint retrieval is to search for fingerprint pictures similar to the input fingerprint from a fingerprint library. Traditional fingerprint recognition algorithms use minutiae features to search for a list of fingerprints most similar to the input fingerprint image through image retrieval techniques. When minutiae points face fingerprint fragments, the retrieval failure is often caused by insufficient number of feature points. Therefore, using more abundant features for fingerprint matching and retrieval has become an inevitable choice to improve the accuracy of fingerprint recognition. [0003] As a tertiary feature in high-resolution fingerprints, sweat pores have attracted extensive attention for their riche...

AI Technical Summary

Problems solved by technology

[0004] Traditional fingerprint retrieval algorithms use minutiae and singular point features for identification. Due to the limited number of these feature points, especially in fingerprint fragments, the number of minutiae and singular points in overlapping areas is not enough to accurately evaluate the similarity of two fingerprint images

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