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SURESCRIPT (Hand written text recognizer and grammatical error corrector)

Journal: International Journal of Scientific Engineering and Science (Vol.8, No. 3)

Publication Date:

Authors : ; ; ; ; ;

Page : 48-55

Keywords : ;

Source : Download Find it from : Google Scholarexternal

Abstract

SureScript represents a groundbreaking advancement in the fields of handwritten text recognition and grammatical error correction. Its elaborate architecture, combining deep learning models and natural language processing algorithms, offers a comprehensive solution for accurately interpreting handwritten text. By utilizing convolutional neural networks (CNNs), SureScript extracts significant characteristics from handwritten characters, enabling it to identify various handwriting styles and variants. Subsequently, recurrent neural networks (RNNs) process these features, capturing temporal dependencies within the input sequence and refining the recognition process further. Moreover, SureScript employs sophisticated natural language processing techniques to handle grammatical issues that may arise during transcription. It can detect and rectify spelling faults, punctuation errors, and syntactic inconsistencies. This dual functionality makes SureScript a versatile tool

Last modified: 2024-04-22 22:13:58