A Document Processing Scheme for Journal Submissions Based on Locality Sensitive Hashing and Scale-invariant Feature Transform

This paper proposes a blockchain-based document processing scheme that can be used in the journal submission system. The Hash algorithm and Merkle tree are used to realize the immutability of information; the interplanetary file system (IPFS) and asymmetric encryption are used to realize document storage and sharing. Through the Local Sensitive Hash Algorithm (LSH) and SIFT algorithm to achieve multiple submission recognition. The solution has the characteristics of decentralization, security and credibility, and cannot be tampered with at will. It can realize multi-platform data sharing and decentralized processing without revealing the original text, and can realize the identification of multiple submissions of the same paper in different journals.