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Suspect face retrieval using visual and linguistic information

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Abstract

Faces are the most common biometric used for the identification of a person. Law enforcement agencies use face as a key point to identify the suspect involved in unlawful activities. Forensic sketches are normally developed by the sketch artist based on verbal details provided by an eyewitness about the suspect. In a forensic sketch, the facial description depends on the memory of the eyewitness; therefore, there is uncertainty in facial attributes. In the recent past, lots of sketch-to-photograph retrieval methods are proposed by many researchers; however, they have ignored the uncertainty of facial attributes for suspect face retrieval. Recently, linguistic information is also utilized for suspect face retrieval. In this paper, we have provided an extensive review of the available methods for suspect face retrieval using visual and linguistic information. The review focuses firstly on the traditional methods and their categorization also shows the evolution of suspect face retrieval approaches over the years. We have also shown the summary of the performance of representative state-of-the-art methods.

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Acknowledgements

The authors highly acknowledge Ministry of Electronics and Information Technology, Government of India, for its fund Grant Approval No. 4(8)/2020-ITEA.

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  1. Department of Computer Engineering and Applications, GLA University, Mathura, UP, 281406, India

    Anand Singh Jalal, Dilip Kumar Sharma & Bilal Sikander

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  1. Anand Singh Jalal
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  2. Dilip Kumar Sharma
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Jalal, A.S., Sharma, D.K. & Sikander, B. Suspect face retrieval using visual and linguistic information. Vis Comput 39, 2609–2635 (2023). https://doi.org/10.1007/s00371-022-02482-6

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