A learning based handwritten text categorization

Sarker, Goutam; Dhua, Silpi; Besra, Monica

doi:10.1109/icacea.2015.7164789

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2018

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“…Machine translation is a part of machine transcription which deals with text processing and translation requires sequence modelling as humans naturally do not translate word for word, but they translate groups of words or phrases together and for this, sequence modelling is needed. [5,6,7,8,9] The present application is implemented using CNN for training the OCR and the translator is implemented using the LSTM model for sequence modelling.…”

Section: Introductionmentioning

confidence: 99%

A Convolution Neural Network for Optical Character Recognition and Subsequent Machine Translation

Sarker¹,

Ghosh²

2018

IJCA

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Optical character recognition has been a longstanding challenging research topic in the broad area of machine learning and pattern recognition. In the present paper, we investigate the problem of textual image recognition and translation, which is among the most daunting challenges in image-based sequence recognition. A convolutional neural network (CNN) architecture, which integrates optical character recognition and natural language translation into a unified framework, is proposed. The accuracy of both OCR output and subsequent translation is moderate and satisfactory. The proposed system for OCR and subsequent translation is an effective, efficient and most promising one.

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Section: Introductionmentioning

confidence: 99%