Week 6: Literature Review

Security system is the system that provides a degree of protection against danger, damages, loss and crimes. It is a structure and process that gives or improves security as a condition. This system has to be compared to related concepts that are safety, continuity and reliability.

From the research that have been done on system that using biometric, there are several previous system can be references to this project

• Vigilance readerTA880E

It is a electronic lock using number pin and fingerprint recognition system which set of IN-OUT fingerprint reader using fingerprint identification and designed for door access and time attendance system simultaneously. The readers can be installed in a standalone and networked environment, depending on the need of a client. It possesses features that are beneficial to an institution which include fast verification method, easy enrollment, identification, multiple fingers enrollment and flexible finger placement.

This existed project is best example as reference for the Development of Fingerprint Image Processing Recognition because both system flowcharts have several similarities such as using fingerprint pattern including password as verification and access with time attendance system process. but both also have the differences shown in table below

Vigilance Reader TA880E	Development Of Fingerprint Image Processing Recognition
Develop in C++ language (using Linux operating system)	Develop in Matlab programming software
Build for a commercial market	Build for study propose
The installation of the hardware can be anywhere near entrance	No installation of hardware because almost all of the system using software

FIGURE 2.1 Sample of current project in market.

• DSP Using Voice Recognition

This project describes the methods used to create a voice recognition system. The methods used were divided into two parts, which are feature extraction and feature matching. In the feature extraction, MFCC method hasbeen applied to identify the characteristics of the voice signal. While in the feature matching, the output resulting from the MFCC will be used by DTW to compare and to minimize the distance of MFCC at each point. K-NNclassification method has been used to determine which one gives the most highest and maximum score for the word said by the speaker. Finally, GUI has been designed as a unit system for voice recognition.

Figure 3.3 GUI for voice recognition