Diabetic peripheral neuropathy (DPN) is a complication of diabetes that causes severe foot pain and frequently leads to amputation. Early detection is critical to saving patients from foot ulcers and amputation. This paper presents an automatic system to identify thermal biomarkers associated with DPN. Research Design and Methods: 141 subjects diagnosed with diabetes mellitus (DM) were enrolled in the study. Subjects were categorized as those with DM but without DPN, those with DPN based on a positive nerve conduction study, and those without DPN. A support vector machine (SVM) was used to classify the subjects having DPN based on thermal parameters related to temperature recovery after a cold provocation. Results: The classifier produced a sensitivity/specificity of 0.78/0.89 in identifying DPN. Conclusions: The SVM classifier can identify patients with the large fiber form of DPN. A different reference standard had to be used to detect small fiber neuropathy.