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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP019

Forensketch: Cloud Based Forensic Sketch System Using JavaFX and AWS.

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP019

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SZ

Swaraj Zore

DP

Dheeraj Patil

PW

Pradnesh Waingankar

AR

Anish Rao

SS

Shweta Sharma

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Abstract

In forensic investigations one way of suspect identification is to create sketch based on eyewitness description. Forensic artists are responsible to create composite sketch of suspects. However traditional methods of matching sketches become complicated through human eye especially if sketches are not detailed enough. Forensketch is a system designed to assist forensic artists in creating and matching sketches. It allows users to draw sketch through a javaFX based interface where various features such as eyes, nose, mouth and face shape can be utilized to create a composite face sketch. The interface helps to reuse similar parts for creating sketches to save time. Analysing and matching sketches to faces is done using AWS (Amazon Web Services) which is a cloud technology. Two important services of AWS are utilized. AWS S3 for storage and AWS Rekognition for analysing to matching facial features for detailed comparison between sketch and real image.

KEYWORDS

AWS S3 Rekognition Java FX Java Swing Face Creation Face Matching Composite Sketch creation Indexing

Cite This Article

Swaraj Zore, Dheeraj Patil, Pradnesh Waingankar, Anish Rao, Shweta Sharma, "Forensketch: Cloud Based Forensic Sketch System Using JavaFX and AWS.," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

3/3/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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