Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN

Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN

Md. Abdur Rahim

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α Pabna University of Science and Technology

Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN

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Abstract

This paper presents an overview of visual recognition of Bengali Sign Language. In this paper we learn and detect a sequence of sign words and recognize the sign language that are understandable to the deaf and hearing impaired people to help normal people understand the meaning of these words. The research discusses the characteristics of the human sign languages, the requirements and difficulties behind visual sign recognition, how to deal with others persons and the different techniques used in the sign language recognition. The paper consists of two major parts, namely the learning part and the detection part. The system takes the sign images as its input. First sign images are learnt by the proposed system. When a sign image is given for recognition, the detection part identifies the image with the help of previously learned images. For learning and detection we have used local binary pattern compared with back propagation algorithm of Artificial Neural Network. We believe that this research will be of much help to express their thoughts and feelings between the deaf people and the normal people.

References

9 Cites in Article

Reference Format

Mohammad Osiur,Rahman,Hassan Basri (2009). Real Time Road Sign Recognition System Using Artificial Neural Networks for Bengali Textual Information Box.
Bangladesh National Federation Of the Deaf.
Thad Starner,Alex Pentland (null). Real-time American Sign Language recognition from video using hidden Markov models.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Abdur Rahim. 2014. \u201cVisual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F2): .

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GJCST Volume 14 Issue F2
Pg. 1- 6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

ANN back propagation algorithm local binary pattern sign language

Submission ReceivedDecember 14, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

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v1.2

Issue date

June 24, 2014

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Article Matrices

Total Score: 101

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Md. Abdur Rahim (PhD/Dr. count: 0)

View Count (all-time): 246

Total Views (Real + Logic): 8733

Total Downloads (simulated): 2280

Publish Date: 2014 06, Tue

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Total Views: 8733

Total Downloads: 2280

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