A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Gaussian Multiscale Aggregation Applied to Segmentation in Hand Biometrics
2011
Sensors
This paper presents an image segmentation algorithm based on gaussian multi-1 scale aggregation oriented to hand biometric applications. The method is able to isolate the 2 hand from a wide variety of background textures such as carpets, fabric, glass, grass, soil 3 or stones. The evaluation was carried out by using a publicly available synthetic database 4 with 408000 hand images in different backgrounds, comparing the performance in terms of 5 accuracy and computational cost to two
doi:10.3390/s111211141
pmid:22247658
pmcid:PMC3251975
fatcat:qb4xdbkv3baophxhpzpqucrw2e