Study on Text Detection and Recognition from Images

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Study on Text Detection and Recognition from Images
Author(s):
Dr.Dinesh D.Patil
Keywords:
CNN, Detection, Neural network, Textual information extraction, Recognition.
Abstract
In this system try and extract words from pictures and take into account character segmentation as a language-independent and individual character recognition as a language-dependent downside. Uses a deep learning approach to extract words from pictures. For text recognition, a concatenation structure is meant to affix the options from each shallow and deep layers in neural networks. Scene text recognizing aims at coinciding localization and recognizing text instances, symbols, and logos in natural scene pictures. text detection and recognition approaches have received immense attention in the computer vision research community.
Article Details
Unique Paper ID: 153526 Publication Volume & Issue: Volume 8, Issue 7 Page(s): 441 - 444
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org