A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Shaikh, S. S.
- Identifying Surgical Images Using Local Facial Features
Authors
Source
Biometrics and Bioinformatics, Vol 8, No 8 (2016), Pagination: 211-215Abstract
Face identification is one of the most interesting and important research fields. The reasons come from the need of automatic face identifications and surveillance systems, the interest in human visual system on face identification, and the design of computer interface, etc. The facial appearance using surgical procedures is big a challenge for face recognition algorithms. These procedures shows the facial features and skin texture thereby providing a change in the appearance of face widespread acceptability and use of biometrics for person authentication has instigated several techniques for identification. Such technique is checking facial appearance using surgical measures that has raised a challenge for face recognition algorithms. There is rise popularity of plastic surgery and its effect on automatic face identification has attracted attention from the research group. However, the plastic surgery introduced nonlinear variations which remain difficult to be modeled by existing face identification systems. In this research, a multi objective evolutionary granular algorithm matching the facial images before and after plastic surgery. The algorithm first gives non-disjoint face granules at many levels of granularity. The granular information is assimilated using a multi objective genetic approach that at a time optimizes the selection of feature extractor for each face granule along with the weights of individual granules.
Keywords
Face Identification, Granular Computing, Evolutionary Algorithm, Plastic Surgery, CLM.- NFC and IoT Based Smart m-Healthcare Patient Monitoring System
Authors
Source
Biometrics and Bioinformatics, Vol 8, No 8 (2016), Pagination: 216-221Abstract
In the recent technology, NFC (Near Field Communication) is a recently growing technology for communication for short range which is aimed to augment existing near field technologies such as RFID (Radio Frequency Identification). In a health care, the use of NFC (Near Field Communication) technology can be employed for not only bringing down health care costs but also facilitate smooth-running and automation of patient identification processes in hospitals and use of mobile devices like smart phones, PDA etc. for designing of health care management systems. In this technology enabled world, changes are rapid and are constantly disrupted. One such disruption now-a-days is Internet of Things (IoT), that has the potential to change the way healthcare is delivered. Considering these factors, a system is proposed that monitors the patient’s condition through a smart android phone associated to the particular patient. Also the doctor will have an NFC enabled smart phone associated where by swapping the NFC tag, the unique id of the patient will be obtained and the doctor can view the status and the history of the particular patient. This proposed system reduces the time and paper work required during the registration of the patient and also the disadvantages of RFID based system is overcome by the use of NFC tags.