A Comparative Study of a New Hand Recognition Model Based on Line of Features and Other Techniques

被引：2

作者：

Mahmood, Mayyadah R. ^{[1
]}

Abdulazeez, Adnan M. ^{[2
]}

机构：

[1] Univ Zakho, Fac Sci, Dept Comp Sci, Zakho, Iraq

[2] Duhok Polytech Univ, Duhok, Iraq

来源：

RECENT TRENDS IN INFORMATION AND COMMUNICATION TECHNOLOGY | 2018年 / 5卷

关键词：

Hand gesture; Human computer interaction; Segmentation; Feature extraction; Classification; Neural networks; Kurdish Sign Languages;

D O I：

10.1007/978-3-319-59427-9_45

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Information technologies are developed and grown all over the world. They depend on the computer system. Some techniques such as hand recognition are used for performing accurate recognition. The main goal of this research is to develop a system that analyzes specific human gestures then interpret this information by using computer system. This paper represents a comparative study between a new novel system called Real Time Hand Gesture Recognition System RTHGRS based on one line of features and other various techniques. The research has come out with 98% recognition compared to other researches in this filed.

引用

页码：420 / 432

页数：13

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