Transcript
SIGN RECOGNITION System FOR DEAF AND DUMB
PEOPLE
GUIDED BY PRESENTED BY
Ms.I.KANAGA SANGEETHA M.E
ASSISTANT PROFESSOR M.RINCY JULIET
DEPARTMENT OF ECE (98010106052)
A.SUBACHITHIRAI MEENAL
(98010106068)
M.SURIYA
(98010106072)
Department of ECE
OBJECTIVE
To develop a system for automatic translation of static gestures used by dumb and deaf persons into audible speech understandable by a common person.
INTRODUCTION
• Sign recognition system act as a interpreter between common people and socially aided people.
• It captures the gesture shown by the deaf and dumb people and convert immediately into known language.
LITERATURE SURVEY 1
Title Sign language recognition system
Author Er.Aditi Kalsh, Dr.N.S.Garewal
Years June 2013
JournalInternational Journal of EngineeringResearch
ExplanationCanny edge and peak detection is used for feature extraction.
LITERATURE SURVEY 2
Title Real Time Indian Sign Language Recognition System to aid Deaf and Dumb people
Author Rajam, P. Subha and Dr G Bala krishnan
Years June 2011
Journal 13th International Journal Communication Technology(ICCT)
Explanation Cam shift and HSV approach for recognizing gesture
LITERATURE SURVEY 3
Title SignPro-An Application Suite for Deaf and Dumb
Author Ashish Sethi, Hemanth, Kuldeep kumar
YearsMay 2012
JournalInternational Journal of Computer Science Engineering Technology
ExplanationSkin segmentation and region growth approach is used for image recognition
Harris Corner Detection
• In the harries corner detection we calculate the cim , r, c.
• Cim - binary image marking corners. • r - Row coordinates of corner points. • c - Column coordinates of corner points
Histogram
• Histograms can be used to provide useful image statistics Information • It plots the number of pixels for each
value• Histogram we are using the num-bins
function
K-NN Algorithm• This approach is used to match the key points
calculated from the capture image using the harries and sift.
• Now the key points matched with the database image.
• IDX = knn search searches the reference data set to find the k-nearest neighbours of each query point represented by each row.
Text to Speech• Serial board communication kit is used to
convert Text to Speech.• This Kit contains PIC Microcontroller,
Selector, Voice recorder, Amplifier, Speaker, Step down transformer.
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