000			03144nam a22003017a 4500
003			OSt
005			20240506055127.0
008			240429b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM QA 76.87 _bQ53 2019
100			_aQuidlat, Kayle Luigie C., author. _911801
245			_aDevelopment of E-Forex : a banknote recognition system using image processing with foreign exchange current value provider / _cKayle Luigie C. Quidlat, Lerma C. Bulda, and Xemia M. Velasco.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2019.
300			_axiii, 81 leaves : _billustrations ; _c28 cm
500			_aAn Undergraduate Thesis (BSCS) -- Cavite State University-CCAT Campus, 2019.
504			_aIncludes bibliographical references and appendices.
520			_aQUIDLAT, KAYLE LUIGIE C., BULDA, LERMA C. AND VELASCO, XEMIA M. Development of E-FOREX: A Banknote Recognition System Using Image Processing with Foreign Exchange Current Value Provider. Design Project. Bachelor of Science Computer Science. Cavite State University-CCAT Campus, Rosario, Cavite. April 2019. Adviser: Mr. Allen Jhon C. Muyot. The study was conducted from August 2018 to April 2019 to develop the mobile-based currency recognition and conversion application for bank personnel, money exchange office staff and common individual. Specifically, the study aimed to: 1) gather information about foreign exchange values from reliable resources; 2) design the application with the following features: 2.1 a user-friendly interface, 2.2 maximize the use of web scraping and image processing algorithms using python and java programming languages, 2.3 conversion of currency, 2.4 recognition of currency; and 3) test the application using test cases, alpha and beta testing; 4) evaluate the application using adapted EIC ISO 25010; and 5) implement the application in a web server. The developers used the iterative process model of system development to accomplish the E-FOREX. In this model, the process starts with a simple implementation of a small set of the software requirements, which iteratively enhances the evolving versions until the complete system is implemented and ready to be deployed. The system was evaluated by twenty respondents composed of five IT experts of Cavite State University-Rosario, five bank personnel, and money exchange office staffs and ten other non-technical respondents including the students. The E-FOREX gained a total score of 4.51/5 for the end-users and 4.51/5 for the mobile developers suggesting an Excellent and Very Good performance.
546			_aIn English text.
650			_aImage processing -- Digital techniques. _911802
650			_aPattern recognition systems. _93447
650			_aCurrency recognition. _911803
700			_aBulda, Lerma C., author. _911804
700			_aVelasco, Xemia M., author. _911805
700			_aMuyot, Allen Jhon C., adviser. _96206
700			_aRamos, Dann Patrick G., technical critic. _911806
942			_2lcc _cT/M/D _hQA 76.87 Q53 2019 _kUM
999			_c3239 _d3239