Abstract: A trusted anonymous voting method includes: performing a hash operation on original voting content to obtain a hash output including a commitment value cvi; blinding the commitment value cvi based on information of other voters to obtain commitment value tuples {tilde over (c)} and {tilde over (x)}; signing the commitment value tuple {tilde over (c)} by using an ESDSA to obtain a signature tuple {tilde over (s)}; and establishing a vote tuple ({tilde over (c)}, {tilde over (s)}, {tilde over (d)}) based on the commitment value tuple {tilde over (c)}, the signature tuple {tilde over (s)} and a signature tuple {acute over (d)} of other voters, and uploading the vote tuple (?, ?, {acute over (d)}) and the commitment value tuple {tilde over (x)} to the blockchain, where signature tuple {tilde over (d)} is generated in a case that other voters verify the signature tuple {tilde over (s)} and the signature tuple {tilde over (s)} passes the verification, and the commitment value tuple {tilde over (x)} is used to decry

Abstract: The present invention is directed to a method of determining vein patterns from a color image for personal identification, the method comprising forming a counterpart of the color image by applying a functional relationship obtained from optimization on the color image, wherein the counterpart of the color image comprises the vein patterns. An apparatus for determining vein patterns from a color image is also disclosed.

Abstract: The present invention is directed to a method of determining vein patterns from a colour image for personal identification, the method comprising forming a counterpart of the colour image by applying a functional relationship obtained from optimization on the colour image, wherein the counterpart of the colour image comprises the vein patterns. An apparatus for determining vein patterns from a colour image is also disclosed.