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Shearing invariant texture descriptor from a local binary pattern and its application in paper fingerprinting
المؤلفون المشاركون
Wahdan, Umar M.
Nasr al-Din, Muhammad Fadil
Umar, Khayr al-Din
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 14، العدد 3 (31 مايو/أيار 2017)12ص.
الناشر
تاريخ النشر
2017-05-31
دولة النشر
الأردن
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
In this paper, a Shearing Invariant Texture Descriptor (SITD) is proposed, which is a theoretically and computationally simple method based on the rotation invariant Local Binary Pattern (Rot-LBP) descriptor.
In real-world applications using flatbed scanners, such as paper texture fingerprinting, it’s common for a sheet of paper to rotate during the image acquisition process.
Because the rotation is usually not based on the paper’s geometrical centre pivot, the produced image is deformed with irregular rotation resulting in shearing transforms.
To tackle the shearing problem, the proposed SITD selects a few patterns from the conventional Rot-LBP to achieve either horizontal or vertical invariance.
This paper presents the construction of the SITD operators and their performance in recognizing self-developed and standard image datasets, including real paper texture and Outex images, as well as those with distinctive shapes.
The images were distorted with only a shearing transform.
The self-developed images were distorted manually, while the standard images were distorted by software.
The proposed description method achieved up to 100% correctly recognition rate in all the tested datasets based on the horizontal shear invariant operator.
In addition to the accurate performance in all the conducted experiments, the operator significantly outperformed the Rot-LBP and another benchmark method, the Shearing Moment Invariant (SMI).
The superiority of the descriptor in recognizing different types of patterns demonstrate its ability to be used in applications where the shearing transform is present.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wahdan, Umar M.& Nasr al-Din, Muhammad Fadil& Umar, Khayr al-Din. 2017. Shearing invariant texture descriptor from a local binary pattern and its application in paper fingerprinting. The International Arab Journal of Information Technology،Vol. 14, no. 3.
https://search.emarefa.net/detail/BIM-819520
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wahdan, Umar M.…[et al.]. Shearing invariant texture descriptor from a local binary pattern and its application in paper fingerprinting. The International Arab Journal of Information Technology Vol. 14, no. 3 (2017).
https://search.emarefa.net/detail/BIM-819520
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wahdan, Umar M.& Nasr al-Din, Muhammad Fadil& Umar, Khayr al-Din. Shearing invariant texture descriptor from a local binary pattern and its application in paper fingerprinting. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 3.
https://search.emarefa.net/detail/BIM-819520
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-819520
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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