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Offline script identification from multilingual indic-script documents: a state-of-the-art
Abstract Offline Script Identification (OSI) facilitates many important applications such as
automatic archiving of multilingual documents, searching online/offline archives of document …
automatic archiving of multilingual documents, searching online/offline archives of document …
Script identification of multi-script documents: a survey
In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …
documents worldwide, script identification techniques have become more important in the …
Survey on publicly available sinhala natural language processing tools and research
N De Silva - ar** Optical Character Recognition (OCR) systems. In a multilingual country like …
Understanding NFC-Net: a deep learning approach to word-level handwritten Indic script recognition
This paper presents a deep learning architecture modified for resource-constrained
environments, called Non-Fully-Connected Network or NFC-Net, based on convolutional …
environments, called Non-Fully-Connected Network or NFC-Net, based on convolutional …
Word-level script identification for handwritten Indic scripts
Automatic script identification from handwritten document images facilitates many important
applications such as indexing, sorting and triage. A given Optical Character Recognition …
applications such as indexing, sorting and triage. A given Optical Character Recognition …
A comprehensive handwritten Indic script recognition system: a tree-based approach
A noteworthy achievement has been accomplished in develo** optical character
recognition (OCR) systems for different Indic scripts handwritten document images. But in a …
recognition (OCR) systems for different Indic scripts handwritten document images. But in a …
A similarity-based two-view multiple instance learning method for classification
Y **ao, Z Yin, B Liu - Knowledge-Based Systems, 2020 - Elsevier
Multiple instance learning (MIL) has been proposed to classify the bag of instances. In
practice, we may meet the problems which have more than one view data. For example, in …
practice, we may meet the problems which have more than one view data. For example, in …