Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: January 2023

Volume 8 | Issue 1

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: 3D Text Segmentation and Recognition using Leap Motion Sensor
Authors Name: Jagadale Suvidha V. , Patale Patil Prajkta U. , Tengale Priyanka S. , Shinde Supriya D
Unique Id: IJSDR1806012
Published In: Volume 3 Issue 6, June-2018
Abstract: In this, we present a method of Human-Computer-Interaction (HCI) through 3D air-writing. Previous system worked on pen-paper based system. Leap motion sensor using 3D texts drawn by fingers can be provocative for existing text recognition framework. The 3D gestures are recorded in air they produce often non-uniform text style and jitter-effect while writing. Air writing, characters, words, and lines are usually connected by continuous stroke that makes it is complex to recognize. In this, we will present 3D text segmentation and recognition using leap motion sensor. In this system we have used Feature Point Extraction Algorithm and Cosine Similarity Algorithm, Ecludien algorithm for measuring the distance. It can be differentiated from it’s neighbouring points. Feature with similar co-ordinate in both text will be compared. Cosine similarity algorithm is used to measure cosine of angle between the two non zero vectors. It recognize characters and words and 3D sequences of segmented words. For this we are creating a dataset. 3D text segmentation and recognition it reduce pen-paper based system.
Keywords: Text segmentation, Feature point Extraction, Cosine Similarity algorithm, Ecludian Distance Measure Algorithm leap motion sensor, Air writing.
Cite Article: "3D Text Segmentation and Recognition using Leap Motion Sensor", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.58 - 61, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806012.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR1806012
Registration ID:180366
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 58 - 61
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner