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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
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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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: 000337078
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

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