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In order to solve the problems such as big complexity induced by difficultly reducing the image dimension mainly in the space domain for locating forged regions, and the poor robustness caused by difficultly detecting geometric transform tamper form the forged areas in current image forgery detection algorithm, the image fast forgery detection algorithm is proposed based on discrete wavelet transform coupled electrostatic field theory. Firstly, the low frequency subbands of forged images were extracted by introducing the discrete wavelet transform for reducing the image space. Then the strong robustness feature was extracted based on electrostatic field theory for mapping the extracted subbands to virtual electric field, as well as these features were ordered by Raster scanning to form feature matrix. Finally, the affine transformation was used to deal with the matrix for finishing the forgery detection. Test results show that:this algorithm had higher location efficiency and detection precision, as well as strong robustness to effectively against geometric transform tampering compared with the current move-copy forgery detection technology. This algorithm can efficiently and accurately detect the image content of forgery image with geometric transformation.