JokerGAN
Jan Zdenek, Hideki Nakayama
Abstract
Collecting labeled data for training of models for image recognition problems, including handwritten text recognition (HTR), is a tedious and expensive task. Recent work on handwritten text generation shows that generative models can be used as a data augmentation method to improve the performance of HTR systems.
Topics & Concepts
Computer scienceTask (project management)Artificial intelligenceTraining setText recognitionGenerative grammarNatural language processingPattern recognition (psychology)Speech recognitionImage (mathematics)EngineeringSystems engineeringHandwritten Text Recognition TechniquesImage Processing and 3D ReconstructionImage Retrieval and Classification Techniques