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International Journal of Engineering، جلد ۱۰، شماره ۴، صفحات ۱۸۱-۱۹۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Robust Strucutural Fingerprint Restoration |
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| چکیده انگلیسی مقاله |
Fast and accurate ridge detection in fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a finger print are major problems in any AFIS. This paper investigates a new online ridge detection method that reduces the complexity and costs associated with the fingerprint identification procedure. The noise in fingerprint is highly correlated and the statistics of such noises are unknown. In this case, image enhancement techniques based on probabilistic approach may not be suitable. In view of imprecise knowledge about the fingerprint noise, a fuzzy set theoretical approach would be more effective. A new structural algorithm for ridge restoration which is based on unsupervised fuzzy classification technique is described. The accuracy and speed of the proposed method are tested for a large number of fingerprint images with different initial qualities, and are found to be superior to the conventional methods. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Hassan Ghassemian |
Electerical and Computer Engineering, Tarbiat Modarres University
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| نشانی اینترنتی |
http://www.ije.ir/article_71186_3a33145b302e05bf5e0e35e1ed19481b.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2417362.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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