Fingerprint Classification Combining Curvelet Transform and Gray-Level Cooccurrence Matrix
المؤلفون المشاركون
Dong, Tingting
Luo, Jing
Geng, Shuze
Xiu, Chunbo
Song, Dan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-17
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Fingerprint classification is an important indexing scheme to reduce fingerprint matching time for a large database for efficient large-scale identification.
The abilities of Curvelet transform capturing directional edges of fingerprint images make the fingerprint suitable to be classified for higher classification accuracy.
This paper presents an efficient algorithm for fingerprint classification combining Curvelet transform (CT) and gray-level cooccurrence matrix (GLCM).
Firstly, we use fast discrete Curvelet transform warping (FDCT_WARPING) to decompose the original image into five scales Curvelet coefficients and construct the Curvelet filter by Curvelet coefficients relationship at adjacent scales to remove the noise from signals.
Secondly, we compute the GLCMs of Curvelet coefficients at the coarsest scale and calculate 16 texture features based on 4 GLCMs.
Thirdly, we construct 49 direction features of Curvelet coefficients at the other four scales.
Finally, fingerprint classification is accomplished by K-nearest neighbor classifiers.
Extensive experiments were performed on 4000 images in the NIST-4 database.
The proposed algorithm achieves the classification accuracy of 94.6 percent for the five-class classification problem and 96.8 percent for the four-class classification problem with 1.8 percent rejection, respectively.
The experimental results verify that proposed algorithm has higher recognition rate than that of wavelet-based techniques.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Luo, Jing& Song, Dan& Xiu, Chunbo& Geng, Shuze& Dong, Tingting. 2014. Fingerprint Classification Combining Curvelet Transform and Gray-Level Cooccurrence Matrix. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-483482
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Luo, Jing…[et al.]. Fingerprint Classification Combining Curvelet Transform and Gray-Level Cooccurrence Matrix. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-483482
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Luo, Jing& Song, Dan& Xiu, Chunbo& Geng, Shuze& Dong, Tingting. Fingerprint Classification Combining Curvelet Transform and Gray-Level Cooccurrence Matrix. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-483482
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-483482
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر