Translated Title

Controllable Finger Vein Images Mosaic Algorithm Based on Single-Scale Retinex

Translated Abstract

A　controllable　mosaic　algorithm　based　on　single-scale　Retinex　was　proposed　for　two　partially　overlapping　finger　vein　images　from　small　image　acquisition　module.　Firstly,　finger　vein　images　were　enhanced　by　a　modified　single-scale　Retinex.　Subsequently,　the　feature　points　from　two　finger　vein　images　were　extracted　and　descripted　by　SIFT　algorithm.　Rough　matched　feature　points　were　obtained　by　similarity　measure　with　Euclidean　distance.　RANSAC　algorithm　was　employed　to　eliminate　error　matched　points　and　the　homography　matrix　between　two　finger　vein　images　was　estimated.　Meanwhile,　constraints　of　the　perspectively　transformed　image　contour　vertices　were　set　to　control　the　Results　of　the　image　mosaic.　Two　finger　vein　images　were　stitched　together　and　a　weighted　average　fusion　algorithm　was　used　for　seam　elimination.　The　result　of　finger　vein　images　mosaic　can　be　controlled　through　constraints　of　the　perspectively　transformed　image　contour　vertices.　Experimental　Results　demostrate　that　this　algorithm　is　controllable,　and　suitable　for　finger　vein　images　mosaic.

Translated Keyword

finger vein recognition
image enhancement
images mosaic
scale-invariant feature transform (SIFT)
single-scale Retinex

Classification

TP391.4
TN911.7

Type

Project Name

Project No.

Access Number

WF:perioarticalylsbxx201711014

Language

Chinese

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