Digital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera / Shelo Princess P. Catuday and Clariz L. Ramos.
Material type:
TextPublisher: Rosario, Cavite : Cavite State University-CCAT Campus, 2019Description: xv, 56 leaves : illustrations ; 28 cmSubject(s): Digital archives systems | Image processing -- Digital techniques | Graphical user interface (computer systems) | Raspberry pi | Optical character recognitionLOC classification: UM QA 76.8 | C38 2019Summary: 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.
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.
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.
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.
| Item type | Current location | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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Thesis/Manuscripts/Dissertations
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Cavite State University - CCAT Campus | Thesis/Manuscript/Dissertation | TH | UM QA 76.8 C38 2019 (Browse shelf) | 1 copy | Available | T0005040 |
Undergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
Includes bibliographical references and appendices.
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.
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.
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.
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.
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