Quick　Response　(QR)　barcodes　are　being　used　in　a　wide　variety　of　applications.　But　the　discrimination　rate　won＇t　be　high　because　the　collected　bar　codes　(form　a　camera　or　scanner)　are　in　various　imaging　conditions.　Obtaining　and　correcting　the　QR　barcode　inclination　angle　is　the　basis　of　the　QR　barcode　recognition　technique.　In　this　paper,　using　the　characteristics　of　QR　barcodes,　we　propose　to　recognize　the　QR　barcodes　in　complex　image　conditions　by　multi-constraint　Hough　transform　method,　which　combines　the　inclination　angle　constraint　and　edge-point　constraint　to　obtain　and　correct　the　QR　barcode　inclination　angle　efficiently.　The　proposed　method　was　evaluated　on　three　data　sets.　The　experimental　results　indicate　that　the　transform　time　of　our　method　is　0.3%　of　the　transform　time　of　the　classic　Hough　transform.　In　particular,　the　proposed　method　provides　a　valuable　QR　barcode　recognition　solution　in　complex　image　conditions.