Two-Stage Pre-processing for License Recognition

Jie Zhang, Cheng Tsung Chan, Min Te Sun

研究成果: 書貢獻/報告類型會議論文篇章同行評審


Various financial insurance and investment application websites require customers to upload identity documents, such as vehicle licenses, to verify their identities. Manual verification of these documents is costly. Hence, there is a clear demand for automatic document recognition. This study proposes a two-stage method to pre-process a vehicle license for a better text recognition. In the first stage, the distortion that often appears in photographed documents is repaired. In the second stage, each data field is carefully located. The subsequent captured fields are then processed by a commercial text recognition software. Due to the sensitivity of vehicle licenses, it is difficult to collect enough data for model training. Consequently, artificial vehicle licenses are synthesized for model training to mitigate overfitting. In addition, an encoder is applied to reduce the background noise, remove the border crossing over text, and make the blurred text clearer before text recognition. The proposed method on a real dataset shows that the accuracy is close to 90%.

主出版物標題51st International Conference on Parallel Processing, ICPP 2022 - Workshop Proceedings
發行者Association for Computing Machinery
出版狀態已出版 - 29 8月 2022
事件51st International Conference on Parallel Processing, ICPP 2022 - Virtual, Online, France
持續時間: 29 8月 20221 9月 2022


名字ACM International Conference Proceeding Series


???event.eventtypes.event.conference???51st International Conference on Parallel Processing, ICPP 2022
城市Virtual, Online


深入研究「Two-Stage Pre-processing for License Recognition」主題。共同形成了獨特的指紋。