AMLC adopts adaptive multilevel fingerprint (AMLFP) feature detection technology independently developed by CNKI, which has the characteristics of fast detection speed, high accuracy, high recall rate and strong anti-interference. Support the detection of chapters, paragraphs and sentences at all levels; Support document deformation detection such as document rewriting and multi-document combination; Support the detection of academic misconduct in long documents such as graduate papers and book monographs.

For any document that needs to be detected, the system first carries out hierarchical processing, and creates fingerprints according to the levels of chapters, paragraphs and sentences. At the same time, it also uses the same technology to create fingerprint indexes for the comparative documents in the resource library.

Relevant requirements for the detection of academic misconduct documents;

1. Managers can choose to put the detected documents into the personal comparison database or upload them in batches as the personal comparison database for future academic misconduct document detection, and the self-built personal comparison database completely belongs to users.

2. The detection system can automatically retrieve the officially published papers belonging to users, detect each published document in real time, and give the detection results quickly.

3. Users can put the documents with problems confirmed in the test results into the problem database for centralized management.