Detection of fingers in document images captured in uncontrolled environment
Lada Tolstenko, Irina Kunina · 2024
This paper proposes an algorithm for detecting finger areas in document images captured in an uncontrolled environment. The main idea of the proposed algorithm is to segment the image on the chromaticity plane and search for a segment that crosses the boundary of the displayed document in the image. It is proposed to use segmentation in combination with the edge analysis to prevent false merging of two segments belonging to the document and the background respectively, being different in the original RGB space, but acquiring similar characteristics on the chromaticity plane. Testing was performed on document images from the MIDV-2020 open dataset. The precision of the proposed algorithm was evaluated as 91.2%, and the recall as 73.5%.