Handwritten Character Generation using Y-Autoencoder for Character Recognition Model Training

no code implementations • LREC 2022 • Tomoki Kitagawa, Chee Siang Leow, Hiromitsu Nishizaki

This paper introduces a Y-Autoencoder (Y-AE)-based handwritten character generator to generate multiple Japanese Hiragana characters with a single image to increase the amount of data for training a handwritten character recognizer.

Optical Character Recognition Optical Character Recognition (OCR)