Development of Cavite State University's document layout analyzer using different document image processing algorithms / by Lee Robert S. Bedayo and Erick B. Guevarra.

By:

Bedayo, Lee Robet S [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2012.Description: ix, 73 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

006.722 B39 2012

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Engineering and Information Technology (CEIT)

Abstract: BEDAYO, LEE ROBERT S. & GUEVARRA, ERICK B., Development of Cavite State University’s Document Layout Analyzer using Different Document Image Processing Algorithms. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. March 2012. Adviser: Mark Steve Poniente. Form processing is an important operation in almost all institutions. The inefficiency. and the prolonged output of the manual form processing methods became a problem to these institutions due to the delay of information flow and decreased productivity. This study aimed to provide a document layout analyzer that may aid in automating a certain process such as document’s format checking. The software will help users reduce or eliminate technical errors on different types of documents. The study was accomplished using document analysis and image processing methods such as binarization, skew correction, noise removal, region clustering and region classification to recognize the layout of a document in a digital image format and compare it to a user specified layout. The program can recognize both soft copy documents and hard copy documents that will be converted into digital image format. The document image then will undergo comparison and analysis to detect irregularities and errors regarding the two document inputs. The study used Extreme Programming methodology. Such methodology supports the needs of the study to help maximize the time and functions that will be included in the study. This study was implemented under the premises of Cavite State University. Keyword — document layout analysis, digital image processing, machine learning

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Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	006.722 B39 2012 (Browse shelf(Opens below))		Link to resource	Room use only	T-4776		00075119

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

BEDAYO, LEE ROBERT S. & GUEVARRA, ERICK B., Development of Cavite State University’s Document Layout Analyzer using Different Document Image Processing Algorithms. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. March 2012. Adviser: Mark Steve Poniente.

Form processing is an important operation in almost all institutions. The inefficiency. and the prolonged output of the manual form processing methods became a problem to these institutions due to the delay of information flow and decreased productivity. This study aimed to provide a document layout analyzer that may aid in automating a certain process such as document’s format checking. The software will help users reduce or eliminate technical errors on different types of documents. The study was accomplished using document analysis and image processing methods such as binarization, skew correction, noise removal, region clustering and region classification to recognize the layout of a document in a digital image format and compare it to a user specified layout. The program can recognize both soft copy documents and hard copy documents that will be converted into digital image format.

The document image then will undergo comparison and analysis to detect irregularities and errors regarding the two document inputs. The study used Extreme Programming methodology. Such methodology supports the needs of the study to help maximize the time and functions that will be included in the study. This study was implemented under the premises of Cavite State University. Keyword — document layout analysis, digital image processing, machine learning

Submitted to the University Library Aug. 9, 2012 T-4776

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