In this paper, we propose to extract the intersection points of the palmprint and the palm-vein lines from multi-spectral images and use them as reliable features for identity verification. Essentially, by utilizing a sum of cardinal directional image difference operation, the palmprint and palm-vein line features are respectively extracted from palm images of the Blue channel and the NIR channel of image spectrums based on simple matrix projection. Subsequently, the intersection locations of the two biometric line features are extracted and utilized to compute a set of keypoint descriptors. After calculating the match scores based on the extracted keypoint descriptors, a score level fusion of the matching results obtained from the Blue channel and the NIR channel is adopted to enhance the verification performance. The proposed method has been experimented on a public domain multispectral palm database where encouraging results in terms of verification accuracy have been obtained.
|Title of host publication||2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2022|
|Event||20th IEEE International Conference on Industrial Informatics, INDIN 2022 - Perth, Australia|
Duration: 2022 Jul 25 → 2022 Jul 28
|Name||IEEE International Conference on Industrial Informatics (INDIN)|
|Conference||20th IEEE International Conference on Industrial Informatics, INDIN 2022|
|Period||22/7/25 → 22/7/28|
Bibliographical notePublisher Copyright:
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Information Systems