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  • 标题:A REVIEW OF FACE SKETCH RECOGNITION SYSTEMS
  • 本地全文:下载
  • 作者:SALAH EDDINE LAHLALI ; ABDELALIM SADIQ ; SAMIR MBARKI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:81
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Police sketching techniques are nevertheless a routine part of law enforcement investigation and often used to identify suspects from an eye witness memory. This classic technique of identifying is generally slow and fastidious and may not conduct to arrest the right offender. Therefore an automatic face sketch recognition systems that determine efficiently the perpetrator�s appearance from gallery of face images is required. Such technology design is open challenging research because faces and sketches are generated from distinct sources and have different gaps to overcome in low and high levels. Although many methods have been proposed, we are unaware of any surveys on this particular topic. For this reason we wrote this paper for reviewing the different researches on recognizing face from forensic sketch by analyzing their approaches and identifying their limitations. We also discuss relevant issues such as benchmarking datasets and evaluation protocols. After, we conclude with several promising directions for future research.
  • 关键词:Face Sketch Recognition; Gap; Feature Extraction; Matching Methods; Machine Learning; Evaluation Protocol; Datasets.
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