In this study, Second Order Difference Plot (SODP) features are used for ECG based human identification. SODP is a method that allows to determine the features with the statistical analysis of the situations obtained from distributions and the distribution of each of successive points on an unstable and linear signals. ECG records of 90 individuals in Physionet ECG-Id database are used in the study. These records are divided into segments with logarithmic grid, number of points in each segment was examined. Extracted features are classified using 2 Fold Cross Validation with kNN classifier, speed and performance of identification system were investigated. As a result, ECG based Human identification using Logspace Grid Analysis of SODP was performed in a very short time with 91.52% success.