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Enhancing Suspect Identification: Automated Composite Sketch Generation and Recognition

  • Disha Suresh Panchal,
  • Jemin Jagdish Bhanushali,
  • Kritika Jayant Donde,
  • Ganesh Digamber Gourshete,
  • Kiran Deshpande

摘要

In computer vision and biometrics, the most important is facial imaging and recognition. Facial photographs, hand-drawn or digital, focus solely on facial features while excluding features such as skin tone and appearance these images play an important role in forensic investigations and law enforcement by aiding in identification suspects or missing persons on you can create diagrams and identify individuals based on these diagrams. These techniques use computer vision algorithms—deep learning models to accurately capture facial features and compare them to a database of known faces. This review examines the latest techniques for creating and recognizing facial images, investigating their applications, challenges, and potential future developments.