- Title
- Improved palmprint segmentation for robust identification and verification
- Creator
- Brown, Dane L
- Creator
- Bradshaw, Karen L
- Subject
- To be catalogued
- Date Issued
- 2019
- Date
- 2019
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/460576
- Identifier
- vital:75966
- Identifier
- xlink:href="https://doi.org/10.1109/SITIS.2019.00013"
- Description
- This paper introduces an improved approach to palmprint segmentation. The approach enables both contact and contactless palmprints to be segmented regardless of constraining finger positions or whether fingers are even depicted within the image. It is compared with related systems, as well as more comprehensive identification tests, that show consistent results across other datasets. Experiments include contact and contactless palmprint images. The proposed system achieves highly accurate classification results, and highlights the importance of effective image segmentation. The proposed system is practical as it is effective with small or large amounts of training data.
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (7 pages)
- Format
- Publisher
- IEEE
- Language
- English
- Relation
- Conference on Signal-Image Technologies and Internet-Based System
- Relation
- Brown, D. and Bradshaw, K., 2019, November. Improved palmprint segmentation for robust identification and verification. In 2019 15th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS) (pp. 1-7). IEEE
- Relation
- Conference on Signal-Image Technologies and Internet-Based System p. 1 2019
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore digital library terms of use (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
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- Visitors: 49
- Downloads: 1
Thumbnail | File | Description | Size | Format | |||
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View Details Download | SOURCE1 | Improved Palmprint Segmentation for Robust Identification and Verification.pdf | 741 KB | Adobe Acrobat PDF | View Details Download |