%0 Journal Article %1 nojavaniiranian %A Nojavani, Esmaiel %A Rezaeezade, Azade %A Monadjemi, %D 2015 %J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) %K Assistant Cash Extra Identification Impaired Iranian Mobile Phone Usage Using Visually %N 1 %P 23 - 37 %T AN IRANIAN CASH RECOGNITION ASSISTANCE SYSTEM FOR VISUALLY IMPAIREDS %U https://airccse.org/journal/ijscai/papers/4115ijscai03.pdf %V 4 %X In economical societies of today, using cash is an inseparable aspect of human’s life. People use cash for marketing, services, entertainments, bank operations and so on. This huge amount of contact with cash and the necessity of knowing the monetary value of it caused one of the most challenging problems for visually impaired people. In this paper we propose a mobile phone based approach to identify monetary value of a picture taken from a banknote using some image processing and machine vision techniques. While the developed approach is very fast, it can recognize the value of the banknote by an average accuracy rate of about 97% and can overcome different challenges like rotation, scaling, collision, illumination changes, perspective, and some others.

@article{nojavaniiranian, abstract = {In economical societies of today, using cash is an inseparable aspect of human’s life. People use cash for marketing, services, entertainments, bank operations and so on. This huge amount of contact with cash and the necessity of knowing the monetary value of it caused one of the most challenging problems for visually impaired people. In this paper we propose a mobile phone based approach to identify monetary value of a picture taken from a banknote using some image processing and machine vision techniques. While the developed approach is very fast, it can recognize the value of the banknote by an average accuracy rate of about 97% and can overcome different challenges like rotation, scaling, collision, illumination changes, perspective, and some others.}, added-at = {2022-01-18T06:59:29.000+0100}, author = {Nojavani, Esmaiel and Rezaeezade, Azade and Monadjemi}, biburl = {https://www.bibsonomy.org/bibtex/2af62694da23aa02d1a7927ca1275ee4d/leninsha}, interhash = {856ef681c7c571a4060fd189425547cf}, intrahash = {af62694da23aa02d1a7927ca1275ee4d}, journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)}, keywords = {Assistant Cash Extra Identification Impaired Iranian Mobile Phone Usage Using Visually}, month = {February}, number = 1, pages = {23 - 37}, timestamp = {2022-01-18T06:59:29.000+0100}, title = {AN IRANIAN CASH RECOGNITION ASSISTANCE SYSTEM FOR VISUALLY IMPAIREDS}, url = {https://airccse.org/journal/ijscai/papers/4115ijscai03.pdf}, volume = 4, year = 2015 }