Forensic face image generation and recognition
One of the toughest Heterogeneous face recognition scenarios, involving the comparison of face images residing in different modalities, is face photo-sketch recognition. In forensic science, face sketch will be used for identification of criminals based on the description provided by the eyewitness....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ICI Publishing House
2022-09-01
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| Series: | Revista Română de Informatică și Automatică |
| Subjects: | |
| Online Access: | https://rria.ici.ro/wp-content/uploads/2022/09/art._Vikram_Chandrasekaran_Srinithyee_Priyadharsini.pdf |
| _version_ | 1797997312141688832 |
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| author | Adithya VIKRAM Anusha CHANDRASEKARAN R. PRIYADHARSINI |
| author_facet | Adithya VIKRAM Anusha CHANDRASEKARAN R. PRIYADHARSINI |
| author_sort | Adithya VIKRAM |
| collection | DOAJ |
| description | One of the toughest Heterogeneous face recognition scenarios, involving the comparison of face images residing in different modalities, is face photo-sketch recognition. In forensic science, face sketch will be used for identification of criminals based on the description provided by the eyewitness. With the latest technologies available, the face sketches are obsolete, and they do not accurately support recognition and identification of criminals. In this work, we propose a system that generates the image of the suspect using the novel Transparent Latent Generative adversarial network (TL-GAN) is proposed. The generated image can be compared with images from the police database, using the DeepFace facial recognition system. The performance of the system has been compared with various CNN models and proved to be performing well. |
| first_indexed | 2024-04-11T10:30:55Z |
| format | Article |
| id | doaj.art-fad4acf54147488a9838ecc926231844 |
| institution | Directory Open Access Journal |
| issn | 1220-1758 1841-4303 |
| language | English |
| last_indexed | 2024-04-11T10:30:55Z |
| publishDate | 2022-09-01 |
| publisher | ICI Publishing House |
| record_format | Article |
| series | Revista Română de Informatică și Automatică |
| spelling | doaj.art-fad4acf54147488a9838ecc9262318442022-12-22T04:29:26ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032022-09-01323859410.33436/v32i3y202207Forensic face image generation and recognitionAdithya VIKRAM0Anusha CHANDRASEKARAN1R. PRIYADHARSINI2Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, IndiaOne of the toughest Heterogeneous face recognition scenarios, involving the comparison of face images residing in different modalities, is face photo-sketch recognition. In forensic science, face sketch will be used for identification of criminals based on the description provided by the eyewitness. With the latest technologies available, the face sketches are obsolete, and they do not accurately support recognition and identification of criminals. In this work, we propose a system that generates the image of the suspect using the novel Transparent Latent Generative adversarial network (TL-GAN) is proposed. The generated image can be compared with images from the police database, using the DeepFace facial recognition system. The performance of the system has been compared with various CNN models and proved to be performing well.https://rria.ici.ro/wp-content/uploads/2022/09/art._Vikram_Chandrasekaran_Srinithyee_Priyadharsini.pdfgandeepfacedeep learningface generationface recognition |
| spellingShingle | Adithya VIKRAM Anusha CHANDRASEKARAN R. PRIYADHARSINI Forensic face image generation and recognition Revista Română de Informatică și Automatică gan deepface deep learning face generation face recognition |
| title | Forensic face image generation and recognition |
| title_full | Forensic face image generation and recognition |
| title_fullStr | Forensic face image generation and recognition |
| title_full_unstemmed | Forensic face image generation and recognition |
| title_short | Forensic face image generation and recognition |
| title_sort | forensic face image generation and recognition |
| topic | gan deepface deep learning face generation face recognition |
| url | https://rria.ici.ro/wp-content/uploads/2022/09/art._Vikram_Chandrasekaran_Srinithyee_Priyadharsini.pdf |
| work_keys_str_mv | AT adithyavikram forensicfaceimagegenerationandrecognition AT anushachandrasekaran forensicfaceimagegenerationandrecognition AT rpriyadharsini forensicfaceimagegenerationandrecognition |