Abstract
Security demands, forensic practices and the identification of criminals require the detection and recognition of iris and fingerprints and of faces in videos and photographs. Moreover, there is an increasing need for multiple forms of human-machine interaction. Control devices by body stimulus are a need and a trend. For example, currently some computers, laptops, phones and video games provide interaction from their cameras, not only for face detection but also for body movements and the detection of objects. Most devices are Internet accessed, which creates an even greater range of possibilities. These technological trends have prompted the development a toolkit for detecting faces in real time. The choice of Silverlight framework for the development of this toolkit provides these applications with instruments that could be implemented in a web browser. This toolkit may be used for other purposes, such as face and iris recognition, body movement and the monitoring of premises. An application was developed as example and proof of concept.
Highlights
Automatic recognition systems for credit cards, bank cards and driver’s license cards are examples in which two images are compared, or rather, a target image obtained at the recognition instance is compared to the image on the card, or to an image bank in which the target image must have an equivalent
Forensic practice and the identification of criminals use the same system in which an image taken from a security camera or from photographs is researched in police data banks
Face detection method used in the development of the toolkit comprises the color spectrum of the human skin (CAI; GOSHTASBY, 1999; LOW, 2001; SUNG; POGGIO, 1998; ZAIDAN et al, 2010; LEE, et al, 2007; VIJAYANANDH; BALAKRISHNAN, 2012)
Summary
Automatic recognition systems for credit cards, bank cards and driver’s license cards are examples in which two images are compared, or rather, a target image obtained at the recognition instance is compared to the image on the card, or to an image bank in which the target image must have an equivalent. Handicapped accessible computers may be controlled by body movements and even by brain stimuli Possibilities are very high for the invention of other applications to detect objects, faces and people (COSTA et al, 2005; JENG et al, 1998; LOPES, 2005; MORAES, 2006; VEZHNEVETS, 2002). They were the possibilities that stimulated the project under analysis. It focuses on the invention of a toolkit that would help in the development of Web applications for the detection of faces in real time. The following section deals with some techniques for face detection, coupled to its advantages and disadvantages
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