کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533062 870056 2017 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Palmprint recognition with Local Micro-structure Tetra Pattern
ترجمه فارسی عنوان
به رسمیت شناختن Palmprint با محلی میکرو ساختار الگوی تترا
کلمات کلیدی
بیومتریک؛ استخراج ویژگی؛ توصیف محلی؛ به رسمیت شناختن Palmprint؛ یادگیری فضا؛ الگوی تترا محلی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• A novel Local Micro-structure Tetra Pattern (LMTrP) is proposed.
• A framework to the palmprint recognition based on LMTrP is presented.
• The proposed method to the palmprint recognition is less sensitive to mere misalignment.
• The proposed method to the palmprint recognition outperforms state-of-the-art local feature based approaches.

Human palmprint-based biometric solutions have been studied extensively in both controlled and uncontrolled environments. However, the majority of existing methods do not reliably handle variations of translation, rotation, and blurriness of one's palm within the range of acceptable tolerance, which largely degrades the performance. Therefore, this paper presents a unique local descriptor called Local Micro-structure Tetra Pattern (LMTrP) and its application to palmprint recognition. The proposed descriptor takes advantage of local descriptors’ direction as well as thickness. In this paper, the palmprint image is first filtered with the line-shaped filter to effectively eliminate unnecessary features. Then, local region histograms of LMTrP are extracted and concatenated into one feature vector to represent the given image. Finally, the kernel linear discriminant analysis is applied on the feature vector for dimension reduction. The experimental results indicate that the proposed methods significantly outperform the state-of-the-art methods without the need to align the palmprint images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 61, January 2017, Pages 29–46
نویسندگان
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