Speech Recognition is an emerging field in the area of Natural Language Processing which
provides ease for human machine interaction with speech. Speech recognition for digits is …

This article introduces a methodology for constructing a trained dataset to facilitate Tifinagh
script recognition using the Tesseract OCR engine. The Tifinagh script, widely used in North …

Management of invoices and maintaining their records for further processing sometimes it is
hectic and buying specially developed software is not worth for small enterprises. The …

OCR termed as Optical Character Recognition, is a technique to convert mechanically or
electronically an image, photo or scanned document of a handwritten or printed text into …

The authors of this research paper present a mech-anism for dealing with loanwords,
missing words, and newly developed terms inclusion issues in WordNets. WordNet has …

Brazil is undergoing a gradual change in the format of its license plates from the old
Brazilian model to the new Mercosur model. The proposed study addresses a fully automatic …

Hindi and Gujarati are Devanagari scripts that have contributed to the culture of India in the
form of literature and human interactions. Due to aging, the textually rich literature of these …

Character recognition is a crucial technology in natural language processing (NLP) that
translates printed text into machine-readable formats, aiding applications in document …

In the Optical Character Recognition (OCR) system, achieving high recognition performance
is important. OCR and visual perception are affected by the inclined characters in each …

Pre-processing is the most important task for any Natural Language Processing (NLP)
application. Pre-processing can include a variety of steps such as tokenization, stemming …