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Layout analysis of arabic documents / (Record no. 64031)

MARC details
000 -LEADER
fixed length control field 01806cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031857.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171216s2017 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.03.M.Sc.2017.Am.L
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amany Mohamed Hesham Farouk
245 10 - TITLE STATEMENT
Title Layout analysis of arabic documents /
Statement of responsibility, etc. Amany Mohamed Hesham Farouk ; Supervised Ibrahim Farag , Amr Badr , Sherif Abdou
246 15 - VARYING FORM OF TITLE
Title proper/short title تحليل التنسيق في الوثائق العربية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Amany Mohamed Hesham Farouk ,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 78 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Document layout analysis is important in converting document images into text. Arabic script cursive nature and different writing styles cause challenges. In this work, we introduce an approach for segmenting image into zones. Text zones are segmented into lines and then words. System accuracy achieved is 93.2% for zone classification and 98.3% for line segmentation. Also, a posteriori, word based and font-size invariant approach for font recognition using textural features based on cosine transform is proposed. Results show that the average recognition rate is 93.2%
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Adaptive binarization
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Arabic documents
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Layout analysis
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amr Badr ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ibrahim Farag ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sherif Abdou ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.20.03.M.Sc.2017.Am.L 01010110073775000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.03.M.Sc.2017.Am.L 01020110073775000 22.09.2023 CD - Rom 73775.CD