Abstract: As a key region of deoxyribonucleic acid (DNA), prokaryotic promoter contains the conserved sequence required for specific binding of ribonucleic acid (RNA) polymerase and transcription initiation, and plays an important role in transcription regulation. However, due to the limitations of experimental methods that are long experimental period and high cost, the identification of prokaryotic promoter sequences remains a major challenge. With the development of computer technology, dozens of prokaryotic promoter identification methods based on computational biology have emerged, which show a high degree of diversity in terms of data quality, dataset size, extracted features, feature selection techniques, classification algorithms and evaluation strategies. Thus, there is an urgent need to systematically compare and summarize these methods so as to improve and further develop prokaryotic promoter recognition techniques.