To realize ECG (electrocardiogram) and VCGr (reconstructed vectorcardiogram) combined diagnose

a solution is put forward to recover cardio signals from scanned standard synchronous 12 lead ECG image directly in order to reduce fund devotion. The cardio signals are complex

diverse and sensitive to noises

the characteristics of 12 lead ECG signals are similar with each other

and the qualities of scanned image are variant. All of these factors lead ECG signals difficult to be identified. To resolve the problems

original color image is firstly transformed to black-white image according to the defined threshold section. Then the least distance rule is applied to search the corresponding pixels for leads one by one in adjacent fields. After searching all pixels in the black white image

some missed pixels are compensated by interpolation. So the standard synchronous 12 lead ECG base lines can be recognized and ascertained. At the end

a filter is applied to remove gross errors produced by previous steps. Experiments show that the algorithm is robust and efficient because it can identify and keep the shape of original signal even when the signal contains some disease information or is corrupted by noises.