Computer-Aided Interpreter for Hearing and Speech Impaired

Suresh, Prashanth; Vasudevan, Niraj; Ananthanarayanan, N. R.

doi:10.1109/cicsyn.2012.53

Cited by 9 publications

(3 citation statements)

References 1 publication

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“…FIG. 6 CONTOUR EXTRACTION [11] In convexity hull algorithm initially computes maximum and minimum x and y coordinate point and by joining those points form bounding rectangle which contains hull. Like hulls there are other points withal present i.e.…”

Section: ) Contour Detectionmentioning

confidence: 99%

Recognition of Accessibility Features Using CNN

Tailor¹

2020

ijarcs

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America has a deaf population of an estimated 10 lakhs people. The method of communication amongst the deaf community is sign language. The American Sign Language encompasses static and dynamic signs. This paper describes the method to capture the static signs (Which are the alphabets) and then translate that signs into texts. Image processing techniques are applied on these captured images. Upon the completion of the various image processing techniques, the features are relegated by three different techniques. For training dataset convolutional neural network is used. Finally, the interpreted text output for that sign in the English Language is displayed.

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Section: ) Contour Detectionmentioning

confidence: 99%

Recognition of Accessibility Features Using CNN

Tailor¹

2020

ijarcs

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“…Classifier is classified in two types 1) Supervised, 2) Unsupervised. [10]. Supervised classification is dependence on the suggested method that a user can select sample values from an image that can be representative of specific classes and then applying the image processing by software to use these training samples as references for the classification of all other values in the image.…”

Section: Classifiermentioning

confidence: 99%

Indian Sign Language Recognition Based on Gray Level Co-occurrence Matrix and 7Hu Moment

Patel¹,

Aarti²

2017

CAE

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“…Computer-aided interpreter for hearing and speech impaired is proposed in [6] which used using natural voice processing and digital image processing algorithms to converts the ASL gesture in text as well as in speech. K. Yeaol presented a static hand gesture recognition algorithm which uses k-mean based radial basis function neural network [7] in that pre-processing techniques are used for hand detection and tracking.…”

Section: Introductionmentioning

confidence: 99%

Indian Sign Language Numeral Recognition - An Image Processing Approach

Kiranalli¹,

Gengaje²

2016

IJCA

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In recent years, Sign language is an important research problem for communicating with hearing impaired people without the help of interpreter. Hand gesture is one of the methods used in sign language which is most commonly used by deaf and dumb people to communicate with each other or with normal people. The proposed algorithm aims at developing real time image processing based system for hand gesture recognition on personal computer with an USB web cam. This paper proposes a method to detect and recognize the static image of Indian Sign Language numbering system from zero to nine. The method is based on counting the open fingers in the static images. The proposed algorithm for gesture recognition is based on boundary tracing and finger tip detection and also deals with images of bare hands, which allows the signer to interact with the system in a natural way. The proposed algorithm is first detect and segments the hand region from the real time captured images. Then using the proposed methodology, it locate the fingers and classifies the gesture. Further the system convert Indian signs into text and then speech using an audio file stored on PC. The algorithm is size invariant but it is orientation dependent. The proposed system is implemented using OpenCV.

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Computer-Aided Interpreter for Hearing and Speech Impaired

Cited by 9 publications

References 1 publication

Recognition of Accessibility Features Using CNN

Recognition of Accessibility Features Using CNN

Indian Sign Language Recognition Based on Gray Level Co-occurrence Matrix and 7Hu Moment

Indian Sign Language Numeral Recognition - An Image Processing Approach

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