👤 Personal Information

• Class of 2026, Master candidate in Electronic Information, International Student
• Document Analysis and Pattern Recognition Laboratory, School of Information Science and Technology, Shihezi University

🔬 Research Interests

• Offline Handwritten Signature Verification

Focus on feature‑extraction problems in offline signature verification. Traditional deep‑learning methods usually fix the feature space and fail to obtain optimal feature representations. Therefore, deep features are expanded (stretched) and dimension‑reduced (compressed) to find the optimal subspace. Specifically, random projection is adopted to expand features to higher dimensions, and then linear discriminant analysis is used to extract key information, so as to find the optimal feature subspace and effectively distinguish genuine signatures from forged ones.

Keywords: machine learning, pattern recognition, offline signature verification, feature extraction

📄 Academic Outputs

None

🏆 Honors & Awards

None