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Procedia Computer Science 00 (2019) 000–000 Available online at www.sciencedirect.com Procedia Computer Science 00 (2019) 000–000

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www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Computer Science 167 (2020) 942–951

International Conference on Computational Intelligence and Data Science (ICCIDS 2019) International Conference on Computational Intelligence and Data Science (ICCIDS 2019)

Latent Fingerprint Database Using Reflected Ultra Violet Imaging Latent Fingerprint Database Using Reflected Ultra Violet Imaging System System Nancy Singlaa,*, Manvjeet Kaurb, Sanjeev Sofatc Nancy Singlaa,*, Manvjeet Kaurb, Sanjeev Sofatc

a PhD Scholar, Punjab Engineering College (Deemed to be University), Chandigarh, India a Assistant Professor, Punjab Engineering College (Deemed to University), be University), Chandigarh, India PhD Scholar, Punjab Engineering College (Deemed to be Chandigarh, India c b Professor, Punjab Engineering College (Deemed to betoUniversity), Chandigarh, IndiaIndia Assistant Professor, Punjab Engineering College (Deemed be University), Chandigarh, c Professor, Punjab Engineering College (Deemed to be University), Chandigarh, India b

Abstract Abstract Latent fingerprint is considered as the key evidence during crime scene investigations. Various powder and chemical methods are available for visualizing the latent as these finger impressions are not directly visiblepowder throughand thechemical naked eye. However, Latent fingerprint is considered as fingerprints the key evidence during crime scene investigations. Various methods are these methods may damage the finger impressions in finger case ifimpressions they are not liftedvisible and handled the available for visualizing the latent fingerprints as these areproperly not directly through carefully. the naked Preserving eye. However, evidential valuemay of the located fingerprints, becomes analyzing andand identifying suspected individual. these methods damage thelatent finger impressionshence in case if theypivotal are notfor properly lifted handled the carefully. Preserving the Nowadays,value optical technology is being prevalent for developing andanalyzing visualizingand theidentifying latent finger Reflected evidential of touchless the located latent fingerprints, hence becomes pivotal for theimpressions. suspected individual. Ultra Violetoptical Imaging System technology (RUVIS) isisone such optical touchless device. There are number of powder latent fingerprint Nowadays, touchless being prevalent for developing and visualizing the latent fingerbased impressions. Reflected databases available. databaseisofone latent fingerprints using optical not available in thefingerprint literature. Ultra Violet ImagingHowever, System (RUVIS) such optical touchless device.touchless There aretechnology number ofispowder based latent The paperavailable. presents However, the latent database fingerprint developedusing and optical captured using the touch-less acquisition databases of database latent fingerprints touchless technology is not availabledevice in the (RUVIS). literature. Extraction level 3the features the latent fingerprints plays and a significant in matching these acquisition latent impressions plain The paper of presents latentfrom fingerprint database developed capturedrole using the touch-less device with (RUVIS). impressions. this paper, 3 features, particularly are extracted Fully Convolution Network Extraction ofFurther level 3 in features fromlevel the latent fingerprints playspores a significant role using in matching these latent Neural impressions with(FCN) plain from the collected latent fingerprints using the RUVIS. impressions. Further in this paper, level 3 features, particularly pores are extracted using Fully Convolution Neural Network (FCN) from the collected latent fingerprints using the RUVIS. © 2019 The Authors. Published by Elsevier B.V.. This is an open access article under the CC BY-NC-ND license © 2020 The Authors. Published by Elsevier B.V. (http://creativecommons.org/licenses/by-nc-nd/4.0/) © 2019 The Authors. Published by Elsevier B.V.. This is an open access article under the CC BY-NC-ND license This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the International Conference on Computational Intelligence and (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the International Conference on Computational Intelligence and Data Data Science (ICCIDS 2019) Peer-review under responsibility of the scientific committee of the International Conference on Computational Intelligence and Science (ICCIDS 2019). Data Science (ICCIDS 2019) Keywords: Latent Fingerprint; Forensics; Biometrics; Database. Keywords: Latent Fingerprint; Forensics; Biometrics; Database.

1. Introduction 1. Introduction Finger impressions left inadvertently due to the deposition of the sweat, amino acids, proteins