Word retrieval based on freak descriptor to identify the image of the english letter that corresponds to the first letter of the word
المؤلف
المصدر
Engineering and Technology Journal
العدد
المجلد 38، العدد 3B (31 مارس/آذار 2020)، ص ص. 150-160، 11ص.
الناشر
تاريخ النشر
2020-03-31
دولة النشر
العراق
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
For the reason of colossal technological developments, the requirement of image information methods became a significant issue.
The aim of this research was to retrieve the word based on Fast Retina Key-points (FREAK) descriptor.
The suggested system consists offour stages.
In the first stage, the images of English letters are loaded.
Points are detected via SUSAN in the second stage.
FREAK used in the third stage and then a database was created containing 26 English letters.
The image to be tested was entered and the points are extracted in the fourth stage and then Manhattan distance was used to calculate the distance between the value of the test image descriptors and all the values of the descriptors in a database.
The experimental results show that the precision and the recall values were high for retrievalofthe words when using SUSAN because it extracts a large number of interest points compared to the Harris method.
For example, for the letter H was 104 with SUSAN while it was 42 for Harris, therefore; the precision for retrieval of the word Hour was 89% and recall was 93% when using SUSAN while precision was 77% and recall was 80% when using For the reason of colossal technological developments, the requirement of image information methods became a significant issue.
The aim of this research was to retrieve the word based on Fast Retina Key-points (FREAK) descriptor.
The suggested system consists offour stages.
In the first stage, the images of English letters are loaded.
Points are detected via SUSAN in the second stage.
FREAK used in the third stage and then a database was created containing 26 English letters.
The image to be tested was entered and the points are extracted in the fourth stage and then Manhattan distance was used to calculate the distance between the value of the test image descriptors and all the values of the descriptors in a database.
The experimental results show that the precision and the recall values were high for retrievalofthe words when using SUSAN because it extracts a large number of interest points compared to the Harris method.
For example, for the letter H was 104 with SUSAN while it was 42 for Harris, therefore; the precision for retrieval of the word Hour was 89% and recall was 93% when using SUSAN while precision was 77% and recall was 80% when using Harris.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Nasir, Ikhlas Falih. 2020. Word retrieval based on freak descriptor to identify the image of the english letter that corresponds to the first letter of the word. Engineering and Technology Journal،Vol. 38, no. 3B, pp.150-160.
https://search.emarefa.net/detail/BIM-1020776
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Nasir, Ikhlas Falih. Word retrieval based on freak descriptor to identify the image of the english letter that corresponds to the first letter of the word. Engineering and Technology Journal Vol. 38, no. 3B (2020), pp.150-160.
https://search.emarefa.net/detail/BIM-1020776
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Nasir, Ikhlas Falih. Word retrieval based on freak descriptor to identify the image of the english letter that corresponds to the first letter of the word. Engineering and Technology Journal. 2020. Vol. 38, no. 3B, pp.150-160.
https://search.emarefa.net/detail/BIM-1020776
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 159-160
رقم السجل
BIM-1020776
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