期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：4
页码：242-246
出版社：International Journal of Soft Computing & Engineering
摘要：The advancement of biometric technology has provided criminal investigators additional tools to determine the identity of criminals. In addition to DNA and circumstantial evidence, if a latent fingerprint is found at an investigative scene or a surveillance camera captures an image of a suspect’s face, then these cues may be used to determine the culprit’s identity using automated biometric identification. However, many crimes occur where none of this information is present, but instead an eye-witness of the crime is available. In these circumstances a forensic artist is often used to work with the witness or the victim in order to draw a sketch that depicts the facial appearance of the culprit according to the verbal description. These sketches are known as forensic sketches. This problem of matching a forensic sketch to a gallery of mugshot images is addressed here using a robust framework called local feature-based discriminant analysis (LFDA). Since, forensic sketches or digital face images can be of poor quality, a pre -processing technique is used to enhance the quality of images and improve the identification performance.In this paper experiments are carried out using 52 forensic sketches for matching against a gallery of 264 photo images. The experimental results demonstrate the matching performance of the proposed algorithm with the use of preprocessing approach yields better identification accuracy compared to other methods.
关键词：sketch; ;Mugshots; ;Feature-based ;approach; Local feature-based discriminant analysis; Feature ;descriptors.
