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- W2989592318 abstract "We present a novel method developed for identification of persons. The case in point is ear biometrics. The novel features first of their kind heralding the geometry of the ear were extracted. The geometry of image was meticulously traced using convex hull an optimized geometrical polygon which will encase the edge of the image in its entity. Around 600 images were captured in almost similar exposure conditions. Thirteen parameters of convex hull were correlated with ear geometry. A deployable personal identification system was developed and evaluated by performing identification tests. It is found that the system performed efficiently with 96% of recognition accuracy." @default.
- W2989592318 created "2019-12-05" @default.
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- W2989592318 date "2018-12-01" @default.
- W2989592318 modified "2023-10-17" @default.
- W2989592318 title "Personal Identification by Capturing Ear Geometry through Convex hull: A Novel Ear Biometric System" @default.
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- W2989592318 doi "https://doi.org/10.1109/icnews.2018.8904025" @default.
- W2989592318 hasPublicationYear "2018" @default.
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