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FaceTrace : Turning Text into Faces

Prasad Dayal Dayal

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Paper Contents

Abstract

In the modern era, the rapid rise in crime rates has made it increasingly important for law enforcement agencies to adopt faster and more efficient methods to identify and apprehend criminals. Traditional investigation methods often involve manual and time-consuming processes that may not keep pace with the growing complexity of criminal activities. One crucial aspect of criminal identification is facial recognition, which has long relied on hand-drawn sketches created by forensic sketch artists based on eyewitness accounts. These sketches are then circulated or matched manually with existing records in police databases, making the process slower and prone to human error. Modernizing this traditional method can significantly enhance the speed and accuracy of criminal investigations. Instead of solely depending on manually drawn sketches, law enforcement can leverage advanced face recognition technologies to match these sketches with digital criminal databases automatically. This not only reduces the time taken to identify suspects but also increases the likelihood of accurate matches, especially in cases where multiple suspects share similar features. A more innovative and efficient approach would be to develop an application that allows the creation of a facial sketch by selecting and combining individual features such as eyes, ears, nose, mouth, hair, and face shape. This modular, feature-based system ensures that sketches are more precise and standardized, minimizing variations caused by different artists drawing styles. Once the composite sketch is generated, it can be instantly compared with a centralized facial recognition database to identify potential matches. Such a system would significantly speed up criminal identification, enabling law enforcement to respond quickly and effectively. It would also reduce reliance on artistic skills and make the process more accessible, even to non-artists. Furthermore, integrating automated face recognition with forensic sketching provides a hybrid solution that combines human intelligence with artificial intelligence, ultimately leading to more efficient investigations, faster suspect identification, and improved public safety.

Copyright

Copyright © 2025 Prasad Dayal. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS51000021584
ISSN: 2321-9653
Publisher: ijprems
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