Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems

The increasing portability of physical manuscripts to the digital environment makes it common for systems to offer automatic mechanisms for offline Handwritten Text Recognition (HTR). However, several scenarios and writing variations bring challenges in recognition accuracy, and, to minimize this pr...

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Bibliographic Details
Main Authors: Arthur Flor de Sousa Neto, Byron Leite Dantas Bezerra, and Alejandro Héctor Toselli
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/21/7711