The research article authored by NBL members - Abdullah Zafar and Christoph Busch with the title "Analyzing " has been awarded the best paper at the NISK 2023 conference.

Congratulations!

About the work: In this work, the authors analyze the eyebrow region for morphed image detection. The proposed method is based on analyzing the frequency content of the eyebrow region. The method was evaluated on two datasets that each consisted of morphed images created using two algorithms. The findings suggest that the proposed method can serve as a valuable tool in morphed image detection, and can be used in various applications where image authenticity is critical.