{"id":26136,"date":"2024-02-24T11:35:59","date_gmt":"2024-02-24T12:35:59","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d8%a3%db%8c%db%8c%d8%af-%d8%a7%d9%85%d8%b6%d8%a7%db%8c-%d8%af%d8%b3%d8%aa-%d9%86%d9%88%db%8c%d8%b3-%d8%a2%d9%81%d9%84%d8%a7%db%8c%d9%86-%db%8c%da%a9-%d8%b1%d9%88\/"},"modified":"2024-02-24T11:36:01","modified_gmt":"2024-02-24T12:36:01","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d8%a3%db%8c%db%8c%d8%af-%d8%a7%d9%85%d8%b6%d8%a7%db%8c-%d8%af%d8%b3%d8%aa-%d9%86%d9%88%db%8c%d8%b3-%d8%a2%d9%81%d9%84%d8%a7%db%8c%d9%86-%db%8c%da%a9-%d8%b1%d9%88","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d8%a3%db%8c%db%8c%d8%af-%d8%a7%d9%85%d8%b6%d8%a7%db%8c-%d8%af%d8%b3%d8%aa-%d9%86%d9%88%db%8c%d8%b3-%d8%a2%d9%81%d9%84%d8%a7%db%8c%d9%86-%db%8c%da%a9-%d8%b1%d9%88\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 \u062a\u0623\u06cc\u06cc\u062f \u0627\u0645\u0636\u0627\u06cc \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0622\u0641\u0644\u0627\u06cc\u0646: \u06cc\u06a9 \u0631\u0648\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0648 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc"},"content":{"rendered":"<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n<td>\u0645\u0642\u0627\u0644\u0647 \u062a\u0623\u06cc\u06cc\u062f \u0627\u0645\u0636\u0627\u06cc \u062f\u0633\u062a \u0646\u0648\u06cc\u0633 \u0622\u0641\u0644\u0627\u06cc\u0646: \u06cc\u06a9 \u0631\u0648\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u0648 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\n<td>Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid, Canan Koc<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n<td>\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>11<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a  <\/td>\n<td>Computer Vision and Pattern Recognition,Artificial Intelligence,Image and Video Processing,\u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0644\u06af\u0648\u06cc \u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0641\u06cc\u0644\u0645 \u060c<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a    <\/td>\n<td>Submitted 5 January, 2024; originally announced January 2024. , Comments: 11 pages<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc    <\/td>\n<td>\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u062f\u0631 5 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f \u060c \u0646\u0638\u0631\u0627\u062a: 11 \u0635\u0641\u062d\u0647<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n<p style=\"direction:ltr;\">Handwritten signature verification poses a formidable challenge in biometrics and document authenticity. The objective is to ascertain the authenticity of a provided handwritten signature, distinguishing between genuine and forged ones. This issue has many applications in sectors such as finance, legal documentation, and security. Currently, the field of computer vision and machine learning has made significant progress in the domain of handwritten signature verification. The outcomes, however, may be enhanced depending on the acquired findings, the structure of the datasets, and the used models. Four stages make up our suggested strategy. First, we collected a large dataset of 12600 images from 420 distinct individuals, and each individual has 30 signatures of a certain kind (All authors signatures are genuine). In the subsequent stage, the best features from each image were extracted using a deep learning model named MobileNetV2. During the feature selection step, three selectors neighborhood component analysis (NCA), Chi2, and mutual info (MI) were used to pull out 200, 300, 400, and 500 features, giving a total of 12 feature vectors. Finally, 12 results have been obtained by applying machine learning techniques such as SVM with kernels (rbf, poly, and linear), KNN, DT, Linear Discriminant Analysis, and Naive Bayes. Without employing feature selection techniques, our suggested offline signature verification achieved a classification accuracy of 91.3%, whereas using the NCA feature selection approach with just 300 features it achieved a classification accuracy of 97.7%. High classification accuracy was achieved using the designed and suggested model, which also has the benefit of being a self-organized framework. Consequently, using the optimum minimally chosen features, the proposed method could identify the best model performance and result validation prediction vectors.<\/p>\n<h2>\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u062a\u0623\u06cc\u06cc\u062f \u0627\u0645\u0636\u0627\u06cc \u062f\u0633\u062a \u0646\u0648\u0634\u062a\u0647 \u060c \u06cc\u06a9 \u0686\u0627\u0644\u0634 \u0628\u0632\u0631\u06af \u062f\u0631 \u0628\u06cc\u0648\u0645\u062a\u0631\u06cc\u06a9 \u0648 \u0627\u0635\u0627\u0644\u062a \u0645\u0633\u062a\u0646\u062f \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.\u0647\u062f\u0641 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0635\u062d\u062a \u06cc\u06a9 \u0627\u0645\u0636\u0627\u06cc \u062f\u0633\u062a\u0646\u0648\u06cc\u0633 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u0645 \u060c 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\u0639\u0645\u06cc\u0642 \u0628\u0647 \u0646\u0627\u0645 Mobilenetv2 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0634\u062f.\u062f\u0631 \u0637\u0648\u0644 \u0645\u0631\u062d\u0644\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u060c \u0627\u0632 \u0633\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0624\u0644\u0641\u0647 \u0645\u062d\u0644\u0647 (NCA) \u060c Chi2 \u0648 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u062a\u0642\u0627\u0628\u0644 (MI) \u0628\u0631\u0627\u06cc \u0628\u06cc\u0631\u0648\u0646 \u06a9\u0634\u06cc\u062f\u0646 200 \u060c 300 \u060c 400 \u0648 500 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f \u0648 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639 12 \u0628\u0631\u062f\u0627\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.\u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c 12 \u0646\u062a\u06cc\u062c\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0627\u0646\u0646\u062f SVM \u0628\u0627 \u0647\u0633\u062a\u0647 (RBF \u060c \u067e\u0644\u06cc \u0648 \u062e\u0637\u06cc) \u060c KNN \u060c DT \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0628\u0639\u06cc\u0636 \u0622\u0645\u06cc\u0632 \u062e\u0637\u06cc \u0648 \u062e\u0644\u06cc\u062c \u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u0644\u0648\u062d\u0627\u0646\u0647 \u0628\u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u0627\u0633\u062a.\u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u060c \u062a\u0623\u06cc\u06cc\u062f \u0627\u0645\u0636\u0627\u06cc \u0622\u0641\u0644\u0627\u06cc\u0646 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u0645\u0627 \u0628\u0647 \u062f\u0642\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc 91.3 \u066a \u062f\u0633\u062a \u06cc\u0627\u0641\u062a \u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc NCA \u0628\u0627 \u062a\u0646\u0647\u0627 300 \u0648\u06cc\u0698\u06af\u06cc \u060c \u0628\u0647 \u062f\u0642\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc 97.7 \u066a \u0631\u0633\u06cc\u062f.\u062f\u0642\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u0644\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062f\u0644 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0648 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u062d\u0627\u0635\u0644 \u0634\u062f \u060c \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u0632\u06cc\u062a \u0646\u06cc\u0632 \u0627\u0632 \u062f\u0627\u0634\u062a\u0646 \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u062e\u0648\u062f \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u0627\u0633\u062a.\u062f\u0631 \u0646\u062a\u06cc\u062c\u0647 \u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u062d\u062f\u0627\u0642\u0644 \u060c \u0631\u0648\u0634 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647\u062a\u0631\u06cc\u0646 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0648 \u0628\u0631\u062f\u0627\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u062f.<\/p>\n<table class=\"table table-bordered table-primary\">\r\n<tr>\r\n\t<td>\r\n\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a.\r\n\t<\/td>\r\n<\/tr>\r\n\t\r\n<tr>\r\n\t<td>\r\n     \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u0645\u0627\u0633\u060c \u067e\u06cc\u0627\u0645\u06a9\u060c \u062a\u0644\u06af\u0631\u0627\u0645 \u0648 \u06cc\u0627 \u0648\u0627\u062a\u0633 \u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f:\r\n\t<br \/><br \/>\r\n\t09395106248\r\n\t\t\r\n\t\t\r\n\t<br \/><br \/>\r\n\t\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0634\u0631\u0627\u06cc\u0637 \u062a\u0631\u062c\u0645\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:\r\n\t\t<br \/>\r\n\t\t<ul>\r\n\t\t<li>\r\n\t\t\u0642\u06cc\u0645\u062a \u0647\u0631 \u0635\u0641\u062d\u0647 \u062a\u0631\u062c\u0645\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 40 \u0647\u0632\u0627\u0631 \u062a\u0648\u0645\u0627\u0646 \u0645\u06cc \u0628\u0627\u0634\u062f. \r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u062a\u062d\u0648\u06cc\u0644 \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u0635\u0648\u0631\u062a \u062f\u0627\u0634\u062a\u0646 \u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0639\u0627\u062f\u06cc \u0628\u06cc\u0646 3 \u062a\u0627 5 \u0631\u0648\u0632 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t\r\n\t\t<li>\r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 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