Prostate cancer and prostatitis can have considerable overlap on conventional MR imaging. Texture analysis on multiparametric MRI shows promise in characterization of prostate, but has not been used on quantitative prostate maps. Here we utilize texture analysis on magnetic resonance fingerprinting (MRF) maps of prostate for characterization of prostate lesions. Results show that texture features can differentiate cancer and non-cancerous transition zone and between grades of cancer in peripheral zone. This could add value to MRF-based relaxometry and conventional MRI to improve lesion characterization.