ASL characters recognition using person specific subspace method

Daffodil International University Journal of Science and Technology

SM Tareeq¹  Md Hasanuzzaman¹  MA Bhuiyan²  Y Shirai³  H Ueno⁴ 

[1] Department of Computer Science and Engineering University of Dhaka, Dhaka;Department of Electronics and Computer Science Jahangirnagar University, Savar, Dhaka;Department of Human and Computer Intelligence, School of Information Science and Engineering, Ritsumeikan University;Department of Informatics, National Institute of Informatics, Tokyo

关键词: ASL character;    Face recognition;    PCA;    Person-specific subspace method;   

DOI  :  10.3329/diujst.v4i2.4366

学科分类：自然科学（综合）

来源: Daffodil International University

【 摘 要 】

This paper presents a person-specific subspace method for ASL characters recognition. To implement this person specific subspace method for ASL characters recognition the system first recognizes the faces and then uses skin-color segmentation method for hand poses segmentation. From the segmented hand poses the system recognizes ASL characters using both PCA and person-specific subspace method separately. Experiment result shows that the classification accuracy of person-specific subspace method is better than general PCA method. The experiment result also shows that person-specific subspace method is faster than general PCA method.Key Words:ASL character, Face recognition, PCA, Person-specific subspace method DOI: 10.3329/diujst.v4i2.4366Daffodil International University Journal of Science and TechnologyVol.4(2) 2009 pp.39-52

【 授权许可】

CC BY