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Auto crop and recognition for document detection based on its contents
Other Title(s)
طريقة مقترحة لتميز محتويات الوثيقة بالاعتماد على القطع الآلي
Joint Authors
Abd al-Wahid, Nisrin Walid
Abd Allah, Hasanayn Samir
Source
Issue
Vol. 58, Issue 1C (31 Mar. 2017), pp.574-582, 9 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
An Auto Crop method is used for detection and extraction signature, logo and stamp from the document image.
This method improves the performance of security system based on signature, logo and stamp images as well as it is extracted images from the original document image and keeping the content information of cropped images.
An Auto Crop method reduces the time cost associated with document contents recognition.
This method consists of preprocessing, feature extraction and classification.
The HSL color space is used to extract color features from cropped image.
The k-Nearest Neighbors (KNN) classifier is used for classification.-
American Psychological Association (APA)
Abd Allah, Hasanayn Samir& Abd al-Wahid, Nisrin Walid. 2017. Auto crop and recognition for document detection based on its contents. Iraqi Journal of Science،Vol. 58, no. 1C, pp.574-582.
https://search.emarefa.net/detail/BIM-729576
Modern Language Association (MLA)
Abd Allah, Hasanayn Samir& Abd al-Wahid, Nisrin Walid. Auto crop and recognition for document detection based on its contents. Iraqi Journal of Science Vol. 58, no. 1C (2017), pp.574-582.
https://search.emarefa.net/detail/BIM-729576
American Medical Association (AMA)
Abd Allah, Hasanayn Samir& Abd al-Wahid, Nisrin Walid. Auto crop and recognition for document detection based on its contents. Iraqi Journal of Science. 2017. Vol. 58, no. 1C, pp.574-582.
https://search.emarefa.net/detail/BIM-729576
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 581-582
Record ID
BIM-729576