A novel unsharp mask sharpening method in preprocessing for face recognition

作者：Xie Lanchi^*; Guo Jingjing; Li Zhihui

来源：Fifth International Conference on Instrumentation & Measurement, Computer, Communication, and Control (IMCCC), 2015-09-18 To 2015-09-20.

DOI：10.1109/IMCCC.2015.87

• Unsharp mask
• Analog surveillance video
• Face recognition
• DirectShow

Face recognition is widely used in public security field. Surveillance video is a major source of probe faces for suspects search. For economic reasons, most social monitors are equipped with analog cameras. When Signals are displayed on PC, interlaced effect will appear. However, after the application of existing methods of de-interlacing, images would lose definition and identification rate would reduce. We proposed a novel sharpening method based on unsharp mask for preprocessing in face recognition.. In this paper, we compared different methods of image sharpening. Then we showed the algorithm implementation under the framework of DirectShow. Proposed method makes significant improvement in image clarity and algorithm complexity.

• 出版日期2015
• 单位司法部司法鉴定科学技术研究所