Rate My Professor Vladimir Shapiro

Shapiro has published extensively on image processing, pattern recognition, and related technologies. Key publications include "Towards a multinational car license plate recognition system" with G. Gluhchev and D. Dimov in Machine Vision and Applications (2006, 142 citations); "Operatorless particle processing systems and methods" US Patent 9,964,968 with J.C. Sharpe et al. (2018, 104 citations); "Handwritten document image segmentation and analysis" with G. Gluhchev and V. Sgurev in Pattern Recognition Letters (1993, 83 citations); "Adaptive license plate image extraction" with V.A. Shapiro et al. in CompSysTech (2004, 81 citations); "Multinational license plate recognition system: Segmentation and classification" with G. Gluhchev in Proceedings of the 17th International Conference on Pattern Recognition (2004, 77 citations); "Accuracy of the straight line Hough Transform: The non-voting approach" in Computer Vision and Image Understanding (2006, 46 citations); "On the Hough transform of multi-level pictures" in Pattern Recognition (1996, 32 citations); "Approach to automatic analysis of Young’s fringes in speckle photography" with V.A. Shapiro et al. in Applied Optics (1993, 26 citations); and "An adaptive method for image thresholding" with V.A. Shapiro et al. in Proceedings of the 11th IAPR International Conference on Pattern Recognition (1992, 21 citations). Additionally, he co-authored US Patent 11,468,538 for "SEGMENTATION AND PREDICTION OF LOW-LEVEL TEMPORAL PLUME PATTERNS" (2022, 17 citations). In 2025, Shapiro published "An AI-Inspired Approach to Student Performance Assessment" presented at The Paris Conference on Education.