Author:
Riaz Imran,Ali Ahmad Nazri,Ibrahim Haidi
Funder
Ministry of Higher Education, Malaysia
Universiti Sains Malaysia
Reference75 articles.
1. An efficient novel approach for iris recognition based on stylometric features and machine learning techniques;Adamović;Futur. Gener. Comput. Syst.,2020
2. Finger texture biometric verification exploiting Multi-scale Sobel Angles Local Binary Pattern features and score-based fusion;Al-Nima;Digit. Signal Process. A Rev. J.,2017
3. Human identification using local binary patterns for finger outer knuckle;Al-Nima,2020
4. Local binary patterns and its variants for finger knuckle print recognition in multi-resolution domain;Arun;Circuits Syst.,2016
5. Bahmed, F., Mammar, M.O., 2019. Assessment of finger geometry features for multibiometric authentication. In: ACM Int. Conf. Proceeding Ser., vol. 0, no. 4, pp. 1–5, 2019, https://doi.org/10.1145/3369973.3369974.