Mobile Phone cards recharge using OCR (Applied on android platform) | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Article 1, Volume 10, Issue 1, 2019, Page 1-32 PDF (938.19 K) | ||||
| DOI: 10.21608/asc.2020.118374 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| This paper focuses on finding a new easy and effective approach to recharging the phone cards utilizing the innovation in our hand as mobile camera and OCR (Optical character recognition) technology. The main advantages of the proposed solution are made up of a combination of hardware and software that is used to convert physical recharge card into machine-readable text to saved time, decreased errors and minimized effort. According to the study of systems development life cycle (SDLC) new demands create new ideas and invent new technology. This Paper can be worthy in real life experience because recharging our mobile cards is one of the activities that nearly all the people do. So instead of entering the numbers manually, we present a new way in recharging mobile cards automatically by detect pin number portion from mobile recharge cards by image processing detection technique with the Technology of OCR for recharge processes. After the detection, and extracting processing the OCR text that is given within the recharge card it sends request to the respective mobile operator for recharging balance. Our main idea is to build an android based application replace the typing of pin numbers with a few seconds snap-shot recharge, making the recharging process much easier and quicker. This app eliminates all the troubles we face in dialing and enter the correct recharge number effectively from the first run through. We will use the machine learning and specifically the optical character recognition in order to make recharging much easier and prevent errors from occurring. We have built an application based on android cell phone making the recharging process much easier and quicker. | ||||
| Keywords | ||||
| identification; verification process; identity verification; Authentication; recharge cards; Google mobile vision; OCR based snapshot recharge | ||||
| References | ||||
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