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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gupta, Karunesh Kumar | - |
dc.contributor.author | Tiwari, Kamlesh | - |
dc.date.accessioned | 2023-02-28T11:04:38Z | - |
dc.date.available | 2023-02-28T11:04:38Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8710391 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9388 | - |
dc.description.abstract | Often in law enforcement and forensic application it is needed to match scanned facial image with a digital face image. This is because in many scenario, non-digital face images are obtained from the crime scene, news articles etc. that are needed to be identified. Non-digital face images are first scanned and then enhanced to match against the database. Challenges arrives because of poor quality of non-digital image, artifacts introduced in scanning process and high saturation etc. therefore matching becomes difficult. The methods used in literature involve specialized hand crafted pre-processing. In our paper, we propose an automated way of matching by using Siamese networks. The proposed method have been able to achieve an EER of 2.346% that is better than the current state-of-the-art. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | EEE | en_US |
dc.subject | Biometrics | en_US |
dc.subject | CNN | en_US |
dc.subject | Imposter | en_US |
dc.subject | Siamese network | en_US |
dc.title | Scanned to Digital Face Images Matching With Siamese Network | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Electrical and Electronics Engineering |
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