Sign Language Recognition based on Hands symbols ClassificationTriloki Gupta
Communication is always having a great impact in every domain and how it is considered the meaning of the thoughts and expressions that attract the researchers to bridge this gap for every living being.
The objective of this project is to identify the symbolic expression through images so that the communication gap between a normal and hearing impaired person can be easily bridged.
Github Link:https://github.com/TrilokiDA/Hand_Sign_Language
GRS '“ Gesture based Recognition System for Indian Sign Language Recognition ...ijtsrd
Recognition languages are developed for the better communication of the challenged people. The recognition signs include the combination of various with hand gestures, movement, arms and facial expressions to convey the words thought. The languages used in sign are rich and complex as equal as to languages that are spoken. As the technological world is growing rapidly, the sign languages for human are made to recognised by systems in order to improve the accuracy and the multiply the various sign languages with newer forms. In order to improve the accuracy in detecting the input sign, a model has been proposed. The proposed model consists of three phases a training phase, a testing phase and a storage output phase. A gesture is extracted from the given input picture. The extracted image is processed to remove the background noise data with the help of threshold pixel image value. After the removal of noise from the image and the filtered image to trained model is tested with a user input and then the detection accuracy is measured. A total of 50 sign gestures were loaded into the training model. The trained model accuracy is measured and then the output is extracted in the form of the mentioned language symbol. The detection mechanism of the proposed model is compared with the other detection methods such as Hidden Markov Model(HMM), Convolutional Neural Networks(CNN) and Support Vector Machine(SVM). The classification is done by means of a Support Vector Machine(SVM) which classifies at a higher accuracy. The accuracy obtained was 99 percent in comparison with the other detection methods. D. Anbarasan | R. Aravind | K. Alice"GRS “ Gesture based Recognition System for Indian Sign Language Recognition System for Deaf and Dumb People" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9638.pdf http://www.ijtsrd.com/engineering/computer-engineering/9638/grs--gesture-based-recognition-system-for-indian-sign-language-recognition-system-for-deaf-and-dumb-people/d-anbarasan
Sign Language Recognition based on Hands symbols ClassificationTriloki Gupta
Communication is always having a great impact in every domain and how it is considered the meaning of the thoughts and expressions that attract the researchers to bridge this gap for every living being.
The objective of this project is to identify the symbolic expression through images so that the communication gap between a normal and hearing impaired person can be easily bridged.
Github Link:https://github.com/TrilokiDA/Hand_Sign_Language
GRS '“ Gesture based Recognition System for Indian Sign Language Recognition ...ijtsrd
Recognition languages are developed for the better communication of the challenged people. The recognition signs include the combination of various with hand gestures, movement, arms and facial expressions to convey the words thought. The languages used in sign are rich and complex as equal as to languages that are spoken. As the technological world is growing rapidly, the sign languages for human are made to recognised by systems in order to improve the accuracy and the multiply the various sign languages with newer forms. In order to improve the accuracy in detecting the input sign, a model has been proposed. The proposed model consists of three phases a training phase, a testing phase and a storage output phase. A gesture is extracted from the given input picture. The extracted image is processed to remove the background noise data with the help of threshold pixel image value. After the removal of noise from the image and the filtered image to trained model is tested with a user input and then the detection accuracy is measured. A total of 50 sign gestures were loaded into the training model. The trained model accuracy is measured and then the output is extracted in the form of the mentioned language symbol. The detection mechanism of the proposed model is compared with the other detection methods such as Hidden Markov Model(HMM), Convolutional Neural Networks(CNN) and Support Vector Machine(SVM). The classification is done by means of a Support Vector Machine(SVM) which classifies at a higher accuracy. The accuracy obtained was 99 percent in comparison with the other detection methods. D. Anbarasan | R. Aravind | K. Alice"GRS “ Gesture based Recognition System for Indian Sign Language Recognition System for Deaf and Dumb People" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9638.pdf http://www.ijtsrd.com/engineering/computer-engineering/9638/grs--gesture-based-recognition-system-for-indian-sign-language-recognition-system-for-deaf-and-dumb-people/d-anbarasan
Smooth traffic flow for trams and buses is an essential requirement for everyone. For passengers, who prefer minimal waiting times and other delays. For transport companies looking to offer optimal service and efficient operations. VECOM® technology can be a key tool in achieving this.
VECOM® is an inductive communication system at the basis
of many vehicle stop and central unit functions. VECOM® is an abbreviation of ‘Vehicle Communications’, referring to transparent information exchange between mobile vehicle equipment and stationary equipment along the route.
1. RESUME
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Rajeev Medithi
Phone: +919177633484
E-mail: rajeev@sasi.ac.in
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Looking for a position where my skills are utilized and shared for the development of the
organization, and I want to become an asset for the organization with my Technical skills, and
Knowledge and plan for my growth too at the same time.
!
!
!
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!
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• Worked as an Assistant Professor in SASI INSTITUTE OF TECHNOLOGY AND
ENGINEERING during 1 year (June 2012 To April 2013).
• Worked as an Assistant Professor in AKRG INSTITUTE OF TECHNOLOGY AND
ENGINEERING during 1 year (May 2013 To April 2014).
• I had been to IES COACHING in Delhi, MadeEasy Institute during 1 year (june 2014 to
may 2015).
!
!
!
!
• Embedded and Real Time Systems (ERTS)[M.tech]
• Digital Logic Design (DLD)
• Digital Signal Processors and Architectures (DSPA)
• Signals and systems(SS)
• Embedded systems(ES)
• Switching theory and logic design(STLD).
Degree / Qualification Year Percentage
M.Tech(VLSI&ES)[JNTUK] 2010-2013 78.85%
B.Tech(ECE)[ JNTUK ] 2006-2010 74.66%
Intermediate[Public Examination Board] 2004-2006 85.60%
SSC [Secondary School Certificate Board] 2003-2004 81%
Academic Record
Career Objective
Experience Details
Subjects Teached
2. !
• Programming and Coding.
• Communications.
• Digital systems.
• VLSI programming.
• IT soft skills.
• Business development management.
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Languages: C, VHDL, EMBEDDED C,Java.
Operating Systems: Windows, Linux,MS-Office,.
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• Participated in national level science exhibition in nalanda school Vijayawada
• Participated in 100 days program conducted by INFOSYS campus connect
• As a project leader to my project in final year.
• Achieved first prize in national level students symposium” ANVESHANA-10” in SASI college.
• As a PROJECT GUIDE to the B.Tech students in EMBEDDED SYSTEMS field.
• As a NBA CORDINATOR and as an Anti-Ragging Committee coordinator.
• Attended a two day national workshop on “soft computing and signal processing
applications to engineering “under IETE student forum on 24th & 25th June 2011.
• Attended a two day national workshop on “VLSI & EDA TOOLS (VLSI-2014)” in JNTU-
vizainagaram during 06th and 07th Feb 2014.
• Published a research paper entitled “palm leaf manuscript document enhancement by combined
binarization and normalization method” in IJERT, volume 2, issue 1.
• Done mini project in electronics society (R&D) centre on “wireless data communication using
RF”.
• Participation certificate at synapse-09 held on 20th -21 feb 2009. on paper entitled “CARBON-
NANO TUBE RAM” in CBIT.
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Technical Skills
Activities & Achievements
Areas of Experience
3. !
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M.Tech
Project Title : PALM LEAF MANUSCRIPTS DOCUMENT ENHANCEMENT BY
USING THE COMBINED NORMALIZATION AND BINARIZATION
Team Size : 02
Duration : 2nd year.
Software : MATLAB
Description:
This project main focus on image enhancement by using the binarization.
1. It is a thresholding technique
2. Improving the contrast of the palm leafs and color documents.
3. Method used is combined binarization and normalization.
4. It is a local contrast adaptive thresholding technique.
5. Normalization is used to make the binarization easy.
The main aim of this project is to enhance the quality and clarity of the degraded palm leafs
and color documents by using the binarization techniques.
B.Tech
1. Project Title : CROSS-EYE JAMMING (ECM technique).
Team Size : 05
Duration : 4th year.
Software : MATLAB.
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Description:
This project mainly consists of creating miss distance and self protection platform
1. It is an on-board ECM technique.
2. ECM stands for electronic counter measure.
3. It is a RETRO DIRECTIVE SYSTEM, there are two jammer sources.
4. Each jammer act as repeater, in this system 180° phase shift is added to the repeater
Projects Details
4. 5. Missile guidance used is ACTIVE HOMMING GUIDANCE.
The main aim of this project is to create a missile miss distance in a subsonic sea skimming
anti ship missile by using ECM parameters.
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B.Tech
2. Project Title : RFID BASED PATH PLANNING FOR THE BLIND PEOPLE
Team Size : 04
Duration : 3 MONTHS (FEB-APRIL 2014)
Software : EMBEDDED C.
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Description:
This project presents a theoretical model and a system concept to provide a smart
electronic and for blind people. The system is intended to provide a service for blind and with low
vision to assist them crossing the traffic roads.
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Methodology is RFID antenna for navigation and scanning tags with the receiver provides
location data to the program for which the user can input a command.
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B.Tech
3. Project Title : Touch Screen Controlled Surveillance Robot.
Team Size : 04
Duration : 3 MONTHS (JAN-APRIL 2013).
Software : EMBEDDED C.
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Description:
1. The main aim of this project is to design and develop a touch screen controlled robot.
2. The robot is controlled by using zigbee wireless technology.
3. Methodology adopted for this project is on embedded system technology.
4. We use LPC2148 MC, 6 DC motors for moving the robot.
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For future development of this project, this kind of robot can be developed or modify so that
it can help human or heavy baggage through stairs.
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5. !• Enjoying work pressure.
• Self-motivated and positive in attitude.
• Dedicated to job.
• Adapt to environment and situations.
• Creative
• Polite and fast learner.
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Name : Rajeev Medithi
Fathers Name : M.Simon
Date of Birth : 20th August 1988
Marital status : single
Sex : male
Nationality : Indian
Languages Known : English, Telugu and Hindi
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Permanent Address : S/O M.SIMON,
D NO: 18-1-129/1, Station Peta,
Narasapur, West Godavari District,
W G DT, PIN: 534275
Andhra Pradesh, India.
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I hereby declare that the information furnished above is true to the best of my knowledge.
(Rajeev Medithi)
Personal details
Strengths
Declaration
![RESUME
!
Rajeev Medithi
Phone: +919177633484
E-mail: rajeev@sasi.ac.in
! !
Looking for a position where my skills are utilized and shared for the development of the
organization, and I want to become an asset for the organization with my Technical skills, and
Knowledge and plan for my growth too at the same time.
!
!
!
!
!
!
• Worked as an Assistant Professor in SASI INSTITUTE OF TECHNOLOGY AND
ENGINEERING during 1 year (June 2012 To April 2013).
• Worked as an Assistant Professor in AKRG INSTITUTE OF TECHNOLOGY AND
ENGINEERING during 1 year (May 2013 To April 2014).
• I had been to IES COACHING in Delhi, MadeEasy Institute during 1 year (june 2014 to
may 2015).
!
!
!
!
• Embedded and Real Time Systems (ERTS)[M.tech]
• Digital Logic Design (DLD)
• Digital Signal Processors and Architectures (DSPA)
• Signals and systems(SS)
• Embedded systems(ES)
• Switching theory and logic design(STLD).
Degree / Qualification Year Percentage
M.Tech(VLSI&ES)[JNTUK] 2010-2013 78.85%
B.Tech(ECE)[ JNTUK ] 2006-2010 74.66%
Intermediate[Public Examination Board] 2004-2006 85.60%
SSC [Secondary School Certificate Board] 2003-2004 81%
Academic Record
Career Objective
Experience Details
Subjects Teached](https://image.slidesharecdn.com/9cae32f1-33b2-4caf-bc03-b6a4e47ac7c3-151118195808-lva1-app6892/85/Resume22-1-320.jpg)
