AI RESEARCH
ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles
arXiv CS.CV
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ArXi:2605.07816v1 Announce Type: new This paper presents CircleID, a large-scale ICDAR 2026 competition on writer identification and pen classification from scanned hand-drawn circles. The primary objective is to investigate how biometric writer characteristics and physical pen features naturally entangle within minimal, static traces. CircleID comprises two distinct tasks: (1) open-set writer identification, requiring models to recognize known writers while explicitly rejecting unknown ones, and (2) cross-writer pen classification, evaluated across both seen and unseen writers.