DSpace Repository

Scanned to Digital Face Images Matching With Siamese Network

Show simple item record

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


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account