HASHI: Japanese character recognizer

• Main Authors: David, Michael Angelo E., Malanum, Mark David C., Ongkoa, Lester S., Yalung, Walter T.
• Format: text
• Language: English
• Published: Animo Repository 1995
• Subjects: Japanese character sets (Data processing); Japanese language > Writing; Imaging systems; Computer network architectures; Neural circuitry; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14013
• Institution: De La Salle University

Hashi is a handwritten Japanese character recognizer. It uses handwritten OCR techniques and the neural network structure of Backpropagation to attain at least 90 percent recognition accuracy. During the course of its development, two approaches were arrived at and developed to successfully accompli...