000			02917nam a22003017a 4500
003			OSt
005			20220624034630.0
008			220624b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM QA 76.8 _bC38 2019
100			_aCatuday, Shelo Princess P., author. _95714
245			_aDigital Manuscript Archiving System using Optical Character Recognition and Raspberry Pi with Camera / _cShelo Princess P. Catuday and Clariz L. Ramos.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2019
300			_axv, 56 leaves : _billustrations ; _c28 cm
500			_aUndergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504			_aIncludes bibliographical references and appendices.
520			_aCATUDAY, 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.
650			_aDigital archives systems. _95715
650			_aImage processing _xDigital techniques. _9527
650			_aGraphical user interface (computer systems). _95716
650			_aRaspberry pi. _95622
650			_aOptical character recognition. _95717
700			_aRamos, Clariz L., author. _95718
700			_aArayata, Diane P., adviser. _95429
700			_aDharma, John Michael A., critic. _95216
942			_2lcc _cT/M/D _hQA 76.8 _iC38 2019 _kUM
999			_c1786 _d1786