Real - Time Text Reader

Jayshree R. Pansare; Aditi Gaikwad; Vaishnavi Ankam; Priyanka Karne; Shikha Sharma

Research Article

Real - Time Text Reader

by Jayshree R. Pansare, Aditi Gaikwad, Vaishnavi Ankam, Priyanka Karne, Shikha Sharma

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 182 - Issue 34

Published: Dec 2018

Authors: Jayshree R. Pansare, Aditi Gaikwad, Vaishnavi Ankam, Priyanka Karne, Shikha Sharma

10.5120/ijca2018918089

PDF

Jayshree R. Pansare, Aditi Gaikwad, Vaishnavi Ankam, Priyanka Karne, Shikha Sharma . Real - Time Text Reader. International Journal of Computer Applications. 182, 34 (Dec 2018), 42-45. DOI=10.5120/ijca2018918089

                        @article{ 10.5120/ijca2018918089,
                        author  = { Jayshree R. Pansare,Aditi Gaikwad,Vaishnavi Ankam,Priyanka Karne,Shikha Sharma },
                        title   = { Real - Time Text Reader },
                        journal = { International Journal of Computer Applications },
                        year    = { 2018 },
                        volume  = { 182 },
                        number  = { 34 },
                        pages   = { 42-45 },
                        doi     = { 10.5120/ijca2018918089 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2018
                        %A Jayshree R. Pansare
                        %A Aditi Gaikwad
                        %A Vaishnavi Ankam
                        %A Priyanka Karne
                        %A Shikha Sharma
                        %T Real - Time Text Reader%T 
                        %J International Journal of Computer Applications
                        %V 182
                        %N 34
                        %P 42-45
                        %R 10.5120/ijca2018918089
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

In most character recognition systems like Optical Character Recognition(OCR), the system may not work well in case of handwritten documents, documents with poor contrast, or when the text and the background are similar in darkness. In some circumstances, the presence of the aforementioned cases leads to poor character recognition. This paper presents a Real Time Text-Reader which works for scanned images and videos. Additionally, the system also extracts text from digital comic images. The system works in 5 phases which are acquirement of the image, pre-processing on image, segmentation, feature extraction, word extraction. It then tags the words into their respective parts of speech categories.

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Optical Character Recognition (OCR) Word extraction Parts of Speech(POS) Tagging Deep Neural Network(DNN)