An Efficient Novel Approach to Iris Recognition Based on Stylometric Features and Machine Learning Techniques

Authors: Saša Adamović, Vladislav Miškovic, Nemanja Maček, Milan Milosavljević, Marko Šarac, Muzafer Saračević, Milan Gnjatović

Category: M20

First/Last Page - 144 / 157 Volume - 107 Publisher - Future Generation Computer Systems, Elsevier DOI - https://www.doi.org/10.1016/j.future.2020.01.056 Year - 2020

Adamović, S., Miškovic, V., Maček, N., Milosavljević, M., Šarac, M., Saračević, M., & Gnjatović, M. (2020). An Efficient Novel Approach to Iris Recognition Based on Stylometric Features and Machine Learning Techniques. Future Generation Computer Systems, Elsevier, 107, 144–157. https://doi.org/https://www.doi.org/10.1016/j.future.2020.01.056

S. Adamović et al., "An Efficient Novel Approach to Iris Recognition Based on Stylometric Features and Machine Learning Techniques," Future Generation Computer Systems, Elsevier, vol. 107, pp. 144–157, 2020. doi: https://www.doi.org/10.1016/j.future.2020.01.056.

@misc{Adamovic2020AnEfficien,
  author       = {Adamovi{\'c}, Sa{\v{s}}a and Mi{\v{s}}kovic, Vladislav and Ma{\v{c}}ek, Nemanja and Milosavljevi{\'c}, Milan and {\v{S}}arac, Marko and Sara{\v{c}}evi{\'c}, Muzafer and Gnjatovi{\'c}, Milan},
  title        = {An Efficient Novel Approach to Iris Recognition Based on Stylometric Features and Machine Learning Techniques},
  year         = {2020},
  publisher    = {Future Generation Computer Systems, Elsevier},
  pages        = {144--157},
  note         = {Available online}
}