RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition

Palmprint recently shows great potential in recognition applications as it is a privacy-friendly and stable biometric. However, the lack of large-scale public palmprint datasets limits further research and development of palmprint recognition. In this paper, we propose a novel realistic pseudo-palmprint generation (RPG) model to synthesize palmprints with massive identities. We first introduce a conditional modulation generator to improve the intra-class diversity. Then an identity-aware loss is proposed to ensure identity consistency against unpaired training. We further improve the B\'ezier palm creases generation strategy to guarantee identity independence. Extensive experimental results demonstrate that synthetic pretraining significantly boosts the recognition model performance. For example, our model improves the state-of-the-art B\'ezierPalm by more than $5\%$ and $14\%$ in terms of TAR@FAR=1e-6 under the $1:1$ and $1:3$ Open-set protocol. When accessing only $10\%$ of the real training data, our method still outperforms ArcFace with $100\%$ real training data, indicating that we are closer to real-data-free palmprint recognition.Comment: 12 pages,8 figure

Geographical Indication of Unique Production Technology of Bahu Lotus Root

Bahu lotus root is a specialty of Hedong District, Linyi City, Shandong Province. It was recognized as a national product of geographical indication in 2011. This article describes the specific production area, unique production environment, rich cultural history and unique quality of Bahu lotus root, and summarizes its unique production from four aspects: selection of origin, selection of variety, production management and timely harvest, aiming to maintain the brand of Bahu lotus root to the greatest extent and further enhance the brand value and influence