In this article you can find clear description (with easy-to-get graphical representation) of the ROC curve creation process - https://shapeofdata.wordpress.com/2015/01/05/precision-recall-aucs-and-rocs/

Here is the similar question to your one with more answers - https://www.researchgate.net/post/How_can_I_draw_a_ROC_curve_having_TP_Rate_and_FP_Rate_Values 

I hope this helps you.

You can also see the below research paper titled EVALUATION: FROM PRECISION, RECALL AND F-MEASURE TO ROC, INFORMEDNESS, MARKEDNESS & CORRELATION.

http://www.bioinfopublication.org/files/articles/2_1_1_JMLT.pdf

first find out FAR and FRR.........

and ROC curve is given between FAR and GAR (Genuine Accept Rate)....

GAR = 100-FRR

You can see

http://www.seas.gwu.edu/~bell/csci243/lectures/performance.pdf

You can see also to this video:

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=video&cd=8&cad=rja&uact=8&ved=0CEcQtwIwBw&url=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D_-PwDwaQQpY&ei=IPHiVMKILoHjywP8gIKIDw&usg=AFQjCNEKoa09gI10s8fTQxwQKFLbN_F8Hw&sig2=ajC9aetAWEwBvCQRZ09CqA&bvm=bv.85970519,d.bGQ

We developped a webtool to easily analyze all sort of screening results, using all usual metrics in the field. You can generate ROC curves and more very quickly from your browser, see http://stats.drugdesign.fr (not so useful for large multi targets benchmarks though). Details on the calculation of ROC curves and other metrics can be found in the associated publications.

Webtool associated publication : Screening Explorer – An Interactive Tool for the Analysis of Screening Results (http://pubs.acs.org/doi/abs/10.1021/acs.jcim.6b00283)