Zuhair Arfeen

Mr. Zuhair Arfeen


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2024 in Arabian Journal for Science and Engineering
Verified
Journal Article
Closed access
PDF file
SLSongzuo Liu
Songzuo Liu
HZHabib Hussain Zuberi
Habib Hussain Zuberi
ZAZuhair Arfeen
Zuhair Arfeen
XZXuanye Zhang
Xuanye Zhang
Muhammad BilalMuhammad Bilal
Muhammad Bilal
ZSZongxin Sun
Zongxin Sun

27 July 2022 in Engineering Proceedings
Verified
Conference Paper
Open access
PDF file
MAMuhammad Amir
Muhammad Amir
RBRIZWAN ASLAM BUTT
RIZWAN ASLAM BUTT
ZAZuhair Arfeen
Zuhair Arfeen
NANoreen Akram
Noreen Akram
Fabric is an important part and parcel of our lives. In addition to fabric color and texture, fabric weave also determines the physical appearance and physical properties of the fabric. At times, it is necessary to determine the weave type of the fabric, for example, at sales outlets, or at customs for tax duty computations. Furthermore, the end-user may be required to confirm the fabric weave type. Conventionally, a manual invasive technique is used to determine the weave type of the fabric, which also requires extensive knowledge of the fabric weaving process. Therefore, in this study, we present an image-processing-based, non-invasive, low-cost fabric weave identification scheme. The experimental results are very encouraging results and show a 90% accuracy in detecting fabric weave type in real-time.