Embedded door access control systems based on face recognition: A survey

Al-Shebani, Qasim; Premaratne, Prashan; Vial, Peter James

doi:10.1109/icspcs.2013.6723968

Cited by 8 publications

(8 citation statements)

References 21 publications

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“…However, This naturally leads to missing certain information by selecting only part of the eigenvectors of the database images that result in mismatch [17]. In contrast, a face recognition system based on a hybrid feature extraction and nearest neighbor for classification was found to obtain higher recognition accuracy [17].…”

Section: Review Of the Literaturementioning

confidence: 99%

“…FPGA is superior to the other hardware platforms in terms of its field reprogramming ability, logic flexibility and dynamic reconfiguration [17]. Many field programmable gate array devices (FPGA) have been developed to be used in a wide range of real-time applications.…”

Section: Field Programmable Gate Array (Fpga)mentioning

confidence: 99%

“…Embedded system is one system that has computer hardware with software embedded in a device that is implemented for a particular purpose [17]. According to the number of hardware resources, the amount of power consumption and the number of programming tools, embedded systems can be classified as small scale, medium scale and large scale systems.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…In contrast, a face recognition system based on a hybrid feature extraction and nearest neighbor for classification was found to obtain higher recognition accuracy [17]. In [18], a hybrid feature extraction was designed based on a combination of local features extracted using a Gabor filter applied on three holistic regions: the eye, the nose and the mouth.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…There exist many types of sophisticated embedded systems such as complex programmable logical devices (CPLD), application specific integrated circuits (ASIC) and field programmable gate arrays (FPGA). FPGAs are found to be an ideal platform for an embedded computer running a high-performance control system [17], [19].…”

Section: Review Of the Literaturementioning

confidence: 99%

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The Feasibility of Implementing a Face Recognition System Based on a Gabor Filter and Nearest Neighbor Techniques in an FPGA Device for Door Control Systems

Al-Shebani¹,

Premaratne²,

Vial³

et al. 2015

JCP

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Door access control systems based on face recognition are geared towards simplifying difficult face recognition problems in uncontrolled environments. Such systems are able to control illumination, offer neutral pose and improve the poor performance of many face recognition algorithms. Door access control systems control illumination and pose in order to overcome face recognition problems. While there have been significant improvements in the algorithms with increasing recognition accuracy, very little research has been conducted on implementing these in hardware devices. Most of the previous studies focused on implementing a simple principal component analysis in hardware with low recognition accuracy. In contrast, the use of a Gabor filter for feature extraction and the nearest neighbour method for classification were found to be better alternatives. Dramatic developments in field programmable gate arrays (FPGAs) have allowed designers to select various resources and functions to implement many complex designs. The aim of this paper is to present the feasibility of implementing Gabor filter and nearest neighbour face recognition algorithms in an FPGA device for face recognition. Our simulation using Xilinx FPGA platforms verified the feasibility of such a system with minimum hardware requirements.

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Section: Review Of the Literaturementioning

confidence: 99%

Section: Field Programmable Gate Array (Fpga)mentioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

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