Design of digital intelligent community fingerprint communication system based on fingerprint recognition technology

Based on the requirements of digital intelligent community construction, fingerprint recognition technology is used to realize the projects that require identity recognition for community residents in the community, such as consumption, parking fees and metering inquiries, and a smart community fingerprint communication system solution is designed. The design of the smart community fingerprint communication system is a new field application based on fingerprint recognition technology. It uses the community LAN to transmit data and realize various identity recognition applications in the community. Fingerprint communication management system.

The intelligentization of residential areas is a comprehensive system project, which needs to be considered from many aspects, including its functions, performance, cost, expansion capability and the application of modern related technologies. Not only the investment cost of the initial construction of the system should be considered, but also the practicality, operability and operation and maintenance costs of the system in the future. Therefore, when designing and selecting various systems in the residential area, it is necessary to comprehensively consider various factors, and it is crucial to select products with mature technology, high reliability and good cost performance.

Based on such needs, fingerprint automatic recognition technology is applied to medical treatment in community hospitals, shopping in community supermarkets, electricity use, water fetching in water rooms, bathing, activities in community activity rooms, borrowing periodicals and books in the library, entering and exiting buildings, and entering and exiting communities, and has achieved good results. It mainly solves the contradiction that residents use many certificates and are easy to lose, which brings a lot of inconvenience to life. The application of the fingerprint communication system designed with fingerprint automatic recognition technology has improved the management level and promoted the modernization of management methods.

By embedding fingerprint automatic recognition technology in the community management system, users do not need to bring any ID cards. They only need to press their fingerprints on the fingerprint recognition device to handle matters related to the identification of community residents. This is convenient for users and reduces the workload of staff, fundamentally eliminating the phenomenon of stealing and misusing other people's ID cards. The realization of the fingerprint recognition system is not out of reach. The hardware investment of the fingerprint recognition system is not large, and it is acceptable to general smart communities. The key technology is the development of the recognition system software and the integration of the recognition system software with the community management system software.

Fingerprint recognition technology

As we all know, human fingerprints have the characteristics of uniqueness and stability, that is, each person's fingerprint is unique, there is no identical fingerprint between two people, and each person's fingerprint is quite fixed, generally will not change with age and health changes, so the identity of a person can be identified by fingerprints. At present, there are many automatic fingerprint recognition systems at home and abroad, but their structures are similar, generally including fingerprint collection and classification, fingerprint detail matching, and fingerprint compression and storage.

1. Fingerprint collection and classification

This is the first step in the operation of the automatic fingerprint identification system (AFIS). The image of the live fingerprint is entered into the system through an optical or CMOS fingerprint collector, and the image is segmented. On the premise of keeping the useful fingerprint information basically intact, some redundant image information is cut off to produce a relatively small fingerprint image, which is enhanced to reduce noise, enhance the contrast of ridges and valleys , and improve image quality. Then the features of the image are extracted to generate a direction array, and then the fingerprint analyzer is used to classify it into five or smaller categories, such as pointed arch, arch, left ring, right ring and vortex, according to the flow direction of the ridges and valleys of the fingerprint. The main purpose of fingerprint classification is to facilitate the management of large-capacity fingerprint libraries, reduce search space, and accelerate the fingerprint matching process.

2. Fingerprint collection

After the fingerprint recognition device is connected normally, the fingerprint can be logged in. During the reader's fingerprint collection process, the reader's fingerprint needs to be entered twice. The first collected fingerprint and the second collected fingerprint are compared. If successful, the system will save it normally and add it to the fingerprint recognition system.

If the collected fingerprint is unqualified, the system will give a sound prompt.

If the recognition is unqualified, the save function cannot be used and re-collection is required. Double quality control is performed on the collected reader fingerprint information before it is saved in the database. To judge the quality of the collected fingerprint, a single 1:1 comparison is performed between the second collected fingerprint information and the first collected fingerprint template to ensure the quality of fingerprint collection and avoid illegal and unqualified fingerprint information from being stored in the database.

3. Fingerprint detail matching

This is the core of the automatic fingerprint recognition system. The Biokey algorithm is used in this system . This algorithm is a fast and accurate 1:1 and 1:N fingerprint recognition algorithm. When using Biokey for fingerprint recognition, 2000~6000 fingerprints can be easily completed in 1~5S without pre-classifying fingerprints by name, PIN, etc. ( tests were all conducted in the Pentium III900MHZ+128MB memory environment).

4. Fingerprint compression and storage

In order to save storage space, the fingerprint image must be compressed. At present, the more common fingerprint image data compression algorithms are JPEG, WSQ and EZW. This system uses the Biokey-WSQ image compression algorithm based on adaptive scalar quantization and wavelet decomposition. When the algorithm is used for fingerprint image compression, it can keep the fingerprint detail feature point information as much as possible, and the impact on the accuracy of extracting fingerprint detail features after decompression is small. When the WSQ algorithm is used for fingerprint image compression with a large compression ratio, the positioning and related information of the restored fingerprint image detail feature points after decompression are well preserved, and the impact on the subsequent fingerprint recognition is small. The WSQ compression ratio is 1:20 or 1:15, that is, a fingerprint image can be compressed to 6~10K. This compression ratio is very suitable for this algorithm. This not only saves storage space, but also does not affect the extraction of template feature points after decompression. It is used for fingerprint image compression, and considering the needs of fingerprint image recognition, the algorithm is improved from the perspective of keeping key point information as much as possible.

Analysis of the Fingerprint Management Platform for Smart Residential Areas

After in-depth analysis and discussion, the fingerprint management platform is adopted for the smart community fingerprint identity management. The system use case diagram is shown in Figure 1.

Figure 1 System use case diagram

According to the system use case diagram, the functional structure of the intelligent community fingerprint management platform is designed as shown in Figure 2.

Figure 2 Functional structure diagram

This system is divided into three modules: system operation module, system management module and data management module. In the system operation module, a fingerprint device initialization module is designed to enable the computer to recognize the fingerprint device and perform fingerprint entry, fingerprint editing, fingerprint recognition and device shutdown operations during normal operation; user management and window hiding functions are designed in the system management module; the backup and recovery functions of the user fingerprint library are designed in the data management module; and an online help function is designed.

Overall design of fingerprint communication system for intelligent community

The overall design of the intelligent community fingerprint communication system is based on the insistence on advancement, practicality, stability, security, economy and scalability, and directly uses the community local area network to transmit data to realize various business charges and various identity recognition applications.

Realize all kinds of identity recognition in the community, use fingerprint device to identify identity, and cancel all certificates; realize data sharing of identity recognition; realize the management system of community garage, book and periodical borrowing in library reading room, control and management of community catering, supermarket shopping and public bath; three-meter copy measurement; community hospital registration fee management, access control system, etc.

This system design standardizes the interface of various application systems or new systems and unifies the standards, and then uses the fingerprint management platform software of the smart community fingerprint communication system to write a unified interface. Based on this idea, two application platforms of the smart community fingerprint communication system are designed, namely the fingerprint management platform and the application platform, and their functions are shown in Figure 3.

Figure 3 Functional structure diagram

1. Fingerprint management system platform design

Delphi7.0 is used to implement each subsystem and integrate the whole system. SQL Server2003 is used as the database support.

The system adopts C/S mode. It can support multiple users to operate at the same time and achieve seamless connection with other application management systems.

Establishment of basic information fingerprint database 1) First, collect fingerprint information of community residents, and establish a basic, standardized, unified and standard fingerprint basic information database according to various organizations, which will serve as the identity identification information of the smart community fingerprint communication system and enter the digital smart community fingerprint communication application platform.

2) DLL technology is used to encapsulate the database connection content reasonably and effectively. If the system is running for the first time, the database automatic connection wizard will be called to guide the operator step by step to make the correct database settings. Database creation is to create an initialization database on the server side to support system operation before the system runs. All kinds of information required for program operation will be automatically completed when the database is created.

3) Voice prompts are implemented in the fingerprint information collection and recognition process. If the quality of the user's fingerprint is not up to standard after being collected, the system will prompt that the registration failed (voice) and display the registration information in the status bar of the window. If the registration is successful, the system will prompt that the registration is successful (voice) and automatically switch to the fingerprint recognition state, and give prompt information in the status bar. This operation method can conveniently and effectively prompt the operator and user's behavior. Fingerprint collection is to collect the user's fingerprint information into the database for future recognition, editing and other maintenance.

2. Application platform design

The intelligent community fingerprint communication system application platform adopts the intelligent community fingerprint communication system to realize the management system of the community garage, the borrowing of books and periodicals in the library reading room, the control and management of community catering, supermarket shopping and public baths; the measurement of three meters; the registration and fee management of the community hospital, the access control system and other connections.

Access control is managed through the community fingerprint communication system application platform, using a network fingerprint access control system, which consists of multiple access control subsystems, a network switch installed in the property management center, and a management and monitoring computer connected through a local area network. Each access control subsystem consists of an access control controller , several fingerprint recognition terminals, and several fingerprint lock controllers, which are installed at the entrance and exit of the community, the entrance and exit of the corridor, and the residents. The door controller compares and analyzes the user's fingerprint and is responsible for uploading user information and other materials to the management and monitoring computer. After the user's fingerprint is verified, the access controller commands the fingerprint lock controller to control the electric lock to open the door.

The community parking lot is managed through the community fingerprint communication system application platform. The entrance and exit are equipped with an embedded barrier, which consists of an electronic barrier and a computer barrier control software. The electronic barrier includes an information prompt display , a barrier body, a barrier controller and an embedded fingerprint button module (fingerprint collector). When entering or exiting the parking lot, the driver only needs to lower the window and press the fingerprint button on the fingerprint barrier controller next to it. After the driver's fingerprint is verified, the barrier controller will control the barrier to lift and make relevant records.

Based on the intelligent community fingerprint management platform, the system's reserved expansion interface and intelligent control can achieve interoperability with various application systems currently running in the community, forming a digital management space and shared environment for the entire community.

Conclusion

Today, with the advancement of science and technology, the construction of digital intelligent communities has brought new and positive changes to the intelligent management of residential communities in my country, and has taken the intelligent management of communities to a new level. Through the design of the intelligent community fingerprint management system, it was first applied in the community library reading management and parking lot management systems. This achievement proves that the construction of the intelligent community fingerprint system has broad application prospects.