Fuzzy Rule-Based Hand Gesture Recognition for Bengali Characters

被引：0

作者：

Ayshee, Tanzila Ferdous ^{[1
]}

Raka, Sadia Afrin ^{[1
]}

Hasib, Quazi Ridwan ^{[1
]}

Hossain, Md. ^{[1
]}

Rahman, Rashedur M. ^{[1
]}

机构：

[1] North South Univ, Dept Elect Engn & Comp Sci, Dhaka, Bangladesh

来源：

SOUVENIR OF THE 2014 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC) | 2014年

关键词：

fuzzy logic; image processing; intelligent system; sign language;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Sign Language, a language that uses a system of manual, facial, and other body movements as the means of communication, is the primary means of communication for people having speaking and hearing impairment. This paper uses image processing and fuzzy rule based system to develop an intelligent system which can act as an interpreter between the Bengali sign language and the spoken language. Initially the data is processed from raw images and then the rules are identified by measuring angles. Primarily, the system is tested only for two letters in Bengali.

引用

页码：484 / 489

页数：6

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