Digital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera / (Record no. 1786)

MARC details
000 -LEADER
fixed length control field 02917nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220624034630.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220624b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UM QA 76.8
Item number C38 2019
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Catuday, Shelo Princess P., author.
9 (RLIN) 5714
245 ## - TITLE STATEMENT
Title Digital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera /
Statement of responsibility, etc. Shelo Princess P. Catuday and Clariz L. Ramos.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rosario, Cavite :
Name of publisher, distributor, etc. Cavite State University-CCAT Campus,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent xv, 56 leaves :
Other physical details illustrations ;
Dimensions 28 cm
500 ## - GENERAL NOTE
General note Undergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and appendices.
520 ## - SUMMARY, ETC.
Thesis Abstract <a href="CATUDAY, SHELO PRINCESS P., RAMOS, CLARIZ L. Digital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera. Design Project. Department of Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2019. Adviser: Engr. Diane P. Arayata. Technical critic: John Michael A. Dharma.<br/><br/>The study was conducted from December 2018 to May 2019 to develop a digital manuscript archiving system using optical character recognition and raspberry pi with picamera. Specifically aims to: 1) design and construct digital manuscript archiving system for organizing manuscript records with the following features: 1.1 TFT for controller; 1.2 capture image; 1.3image to text process; 1.4web — based GUI; and 1.Sstored in a database; 2) test and evaluate the technical performance of the archiving system in terms of the following: 2.1 accuracy of image processing; 2.2 process time of the system; 3) assess the perception of the user on the system in using ISO 25010: Quality Model for Quality Use; and 4) implement the system in Cavite State University-CCAT Campus. <br/><br/>The researchers used raspberry pi to control the system. The researchers also used picamera which is connected to the raspberry pi to capture the manuscript and stored in the database. The system contained a web — based GUI as the software. <br/><br/>Based on the result of the evaluation, the function of the system was accurate as long as the camera has highest specs. The average processing time is around 8 seconds. Some recommendation arises for the improvement of the study.">CATUDAY, SHELO PRINCESS P., RAMOS, CLARIZ L. Digital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera. Design Project. Department of Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2019. Adviser: Engr. Diane P. Arayata. Technical critic: John Michael A. Dharma.<br/><br/>The study was conducted from December 2018 to May 2019 to develop a digital manuscript archiving system using optical character recognition and raspberry pi with picamera. Specifically aims to: 1) design and construct digital manuscript archiving system for organizing manuscript records with the following features: 1.1 TFT for controller; 1.2 capture image; 1.3image to text process; 1.4web — based GUI; and 1.Sstored in a database; 2) test and evaluate the technical performance of the archiving system in terms of the following: 2.1 accuracy of image processing; 2.2 process time of the system; 3) assess the perception of the user on the system in using ISO 25010: Quality Model for Quality Use; and 4) implement the system in Cavite State University-CCAT Campus. <br/><br/>The researchers used raspberry pi to control the system. The researchers also used picamera which is connected to the raspberry pi to capture the manuscript and stored in the database. The system contained a web — based GUI as the software. <br/><br/>Based on the result of the evaluation, the function of the system was accurate as long as the camera has highest specs. The average processing time is around 8 seconds. Some recommendation arises for the improvement of the study.</a>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Digital archives systems.
9 (RLIN) 5715
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
9 (RLIN) 527
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Graphical user interface (computer systems).
9 (RLIN) 5716
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raspberry pi.
9 (RLIN) 5622
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Optical character recognition.
9 (RLIN) 5717
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ramos, Clariz L., author.
9 (RLIN) 5718
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Arayata, Diane P., adviser.
9 (RLIN) 5429
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dharma, John Michael A., critic.
9 (RLIN) 5216
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis/Manuscripts/Dissertations
Classification part QA 76.8
Item part C38 2019
Call number prefix UM
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Thesis/Manuscript/Dissertation Cavite State University - CCAT Campus Cavite State University - CCAT Campus TH 06/24/2022   UM QA 76.8 C38 2019 T0005040 06/24/2022 1 copy 06/24/2022 Thesis/Manuscripts/Dissertations