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- W2184320171 abstract "Extraction ofpalmprint lines hasbeenaddressed (see, forexample [22][20]). Still, lines-only features havenot Wepresent anewseries ofresults that showthecompet- beenenough toprovide sufficient accuracy, andcombining itive performance ofadvanced correlation filter classifiers these features withtexture-based features [19] aswellas forpalmprint recognition. Wedesign multiple correlation hand-geometry features [7] hasbeenshowntoproduce betfilters insubregions ofthepalmprintfor eachclass. Wepro- terresults. poseasegmentation stage that selects palmprint subregions Inourwork,wehaveshownthat advanced correlation totrain thefilters inaclass-by-class basis using different filter classifiers [16][18][17] workeffectively withfaces edge-detection operators. Thiseffectively guides thefilter[11], fingerprints [13] andiris images [12], aswell aspalmtraining process torely onregions that haveastronger line . 2 prints [2].We havealsoshownthat wholepalmprint patcontent, increasing between-class separation ofthepalm- terns, without theneedofline extraction procedures, can prints. Weevaluate theproposed algorithm inalarge palm- ' . . t" @default.
- W2184320171 created "2016-06-24" @default.
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- W2184320171 date "2007-01-01" @default.
- W2184320171 modified "2023-09-27" @default.
- W2184320171 title "Palmprint Recognition withMultiple Correlation Filters UsingEdgeDetection forClass-Specific Segmentation" @default.
- W2184320171 hasPublicationYear "2007" @default.
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