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Memetic approach for matching sketches with digital face images
| Content Provider | Indraprastha Institute of Information Technology, Delhi |
|---|---|
| Author | Bhatt, Himanshu S Bharadwaj, Samarth Singh, Richa Vatsa, Mayank |
| Abstract | One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an automated algorithm that extracts discriminating information from local regions of both sketches and digital face images. Structural information along with the minute details present in local facial regions are encoded using multi-scale circular Weber’s Local descriptor. Further, an evolutionary memetic optimization is proposed to assign optimal weights to every local facial region to boost the identification performance. Since, forensic sketches or digital face images can be of poor quality, a pre-processing technique is used to enhance the quality of images and improve the identification performance. Comprehensive experimental evaluation on different sketch databases show that the proposed algorithm yields better identification performance compared to existing algorithms and two commercial face recognition systems. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Sketch Recognition Face Recognition Memetic Algorithms Forensic Sketch |
| Content Type | Text |
| Resource Type | Technical Report |
| Subject | Data processing & computer science |
