Abstract: A new simplified table lookup algorithm for decoding binary QR codes is presented. The algorithm is based on the properties of QR codes and the weights of syndromes. The decoding table is composed of the vectors of the form ( e，eH ), where e is an error pattern, of which the error bits are located only in the information part and the number of errors is no more than half of the error-correcting capability of the code, and eH is the syndrome of e . The algorithm can be applied to decoding any binary QR code. Moreover, the number of rows of the lookup table in this algorithm is the smallest one among all known lookup table decoding algorithms for binary QR codes. So this algorithm not only has certain theoretical significance, but also has certain practical value.