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International Journal of Engineering، جلد ۳۵، شماره ۴، صفحات ۷۵۰-۷۵۹
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عنوان انگلیسی An Improved Fingerprint-based Document Image Retrieval using Multi-resolution Histogram of Oriented Gradient Features
چکیده انگلیسی مقاله Recently most of the documents are authenticated by using a latent fingerprint impression. Examples of such documents are property registration, banking transactions, insurance documents, etc. The fingerprint-based document retrieval (FPDIR) has emerged to provide an easier way of accessing, browsing, or searching such document images. This paper proposes efficient fingerprint-based document image retrieval by employing multi-resolution Histogram of Oriented Gradient (HOG) features. The preprocessing technique presented in this paper employs a combination of top-hat and bottom-hat filtering operations to enhance the detected fingerprint image. Multi-resolution HOG features are constructed from horizontal, vertical and diagonal directional components of the enhanced fingerprint image. Finally, a standardized Euclidean distance metric is used as a tool for matching, ranking and retrieval of the document images. The proposed system is assessed by experimenting with a dataset of 1200 images. The precision and recall results obtained using the proposed research work have given an improvement of 8% to 14% in retrieval performance compared to earlier methods.
کلیدواژه‌های انگلیسی مقاله Document image retrieval,Top-hat filter,Bottom-hat filter,Histogram of Oriented Gradients,Discrete Wavelet transform
نویسندگان مقاله U. D. Dixit |
Department of Electronics and Communication Engineering, BLDEA’s V. P. Dr .P. G. Halakatti College of Engineering & Technology, Vijayapura, India

M. S. Shirdhonkar |
Department of Computer Science and Engineering, BLDEA’s V. P. Dr .P. G. Halakatti College of Engineering & Technology, Vijayapura, India

نشانی اینترنتی https://www.ije.ir/article_142760_a97a66921437a8c61ed4da3a8a65ad77.pdf
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