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