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Automatic fingerprint matching using improved vector matching algorithm

Automatic fingerprint matching using improved vector matchin...

引用

8th International Conference on Electronic Measurement and Instruments

作者： Wang Yuan Zhou Fuqiang Yao Lixiu Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200030 Peoples R China Beihang Univ Sch Instrument Sci & Opt Elect Beijing Peoples R China

ISBN: (纸本)1424411351

The performance of an automatic fingerprint identification system is essentially determined by its fingerprint matching algorithm. In this paper, a novel improved fingerprint image matching algorithm based on vector matching method with variable weight modification is proposed. That is features are extracted from fingerprint image as "vector points" and an improved vector matching method with weight modification is used to match these features. Experiment result in this paper shows that this fingerprint matching algorithm not only improve the accuracy but also effectively reduce FAR with maintaining the same FRR. We believe this method has a great advantage and opens a new way to improve the performance of fingerprint recognition system.

关键词： fingerprint recognition minutiae model vector matching algorithm weight modification

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Compact self-contained navigation system with MEMS inertial sensor and optical navigation sensor for 3-D pipeline mapping

Compact self-contained navigation system with MEMS inertial ...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyun, Dongjun Jegal, Minsu Yang, Hyun Seok Yonsei Univ Dept Mech Engn Seoul 120749 South Korea

ISBN: (纸本)9781424466757

We propose a compact self-contained navigation system with Micro-Electro-Mechanical System (MEMS) inertial sensor and optical navigation sensor for 3-D pipeline mapping. Self-contained navigation system have advantages of robust against severe environmental conditions and also wide applications without external assist such as Global Positioning System (GPS) navigation or localization system based on a map. The goal of this study is to overcome the performance limitations of small, low-grade sensors by combining various sensors with complementary functions and, therefore, to achieve robust tracking performance against severe environmental conditions. The multi-rate EKF solves the frequent outage problem of the optical navigation sensors and the bias drift problem of the MEMS accelerometers. The vector matching algorithm with the gravity field vector solves the bias drift problem of the MEMS gyro except for the yaw in the reference axis. The geometry compensation algorithm minimizes position errors by combining the forward and backward estimation results geometrically. Experiments to verify performance are conducted by driving Radio-Controlled (RC) car equipped with the proposed navigation system on 3-D asphalt pavement. Experimental results show that the proposed navigation system has good performance and estimated position errors are less than one percent, in the range of 855 m. The proposed navigation system can contribute a compact size and robustness not only to 3-D pipeline mapping but also to small mobile robots.

关键词： 3-D asphalt pavement 3-D pipeline mapping Global Positioning System MEMS accelerometer MEMS gyro MEMS inertial sensor accelerometers asphalt automobiles geometry compensation algorithm global positioning system gravity field vector inertial navigation localization system micro electro mechanical system microsensors mobile robot mobile robots multirate EKF optical sensors radio controlled car radio tracking remotely operated vehicles roads self contained navigation system vector matching algorithm

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A real time fingerprint recognition system based on novel fingerprint matching strategy

A real time fingerprint recognition system based on novel fi...

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8th International Conference on Electronic Measurement and Instruments

作者： Wang Yuan Yao Lixiu Zhou Fuqiang Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China Beihang Univ Sch Instrument Sci & Optp Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9781424411351

Fingerprint based personal identification is becoming more and more popular in everyday life. Designing an accurate real time automatic fingerprint identification system is of great importance in many circumstances, and this question has attracted lot of scholar's attention. In this paper we present a new real time fingerprint recognition system based on a novel fingerprint minutiae matching algorithm. The system is developed to be applicable to today's embedded systems for fingerprint authentication, in which small area sensors are employed. The system is comprised of fingerprint enhancement and quality control, fingerprint feature extraction, fingerprint matching using a novel matching algorithm, and connection with other identification system. Experiment on FVC2002 database show this system is fast, accurate and suitable for the real time personal identification.

关键词： real time fingerprint recognition system fingerprint enhancement vector matching algorithm weight modification

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A Real Time Fingerprint Recognition System Based On Novel Fingerprint matching Strategy

A Real Time Fingerprint Recognition System Based On Novel Fi...

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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Wang Yuan~1 Yao Lixiu~1 Zhou Fuqiang~2 (1 School of Electronic,Information and Electrical Engineering,Shanghai Jiao Tong University,China) (2 School of Instrument Science & Optp-electronics Engineering,Beihang University,China)

Fingerprint based personal identification is becoming more and more popular in everyday life. Designing an accurate real time automatic fingerprint identification system is of great importance in many circumstances,and this question has attracted lot of scholar's *** this paper we present a new real time fingerprint recognition system based on a novel fingerprint minutiae matching *** system is developed to be applicable to today's embedded systems for fingerprint authentication,in which small area sensors are employed. The system is comprised of fingerprint enhancement and quality control,fingerprint feature extraction,fingerprint matching using a novel matching algorithm,and connection with other identification *** on FVC2002 database show this system is fast,accurate and suitable for the real time personal identification.

关键词： Real time Fingerprint Recognition System Fingerprint Enhancement vector matching algorithm Weight Modification

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A human-perception-like image recognition system based on PAP vector representation with multi resolution concept

A human-perception-like image recognition system based on PA...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Yagi, M Shibata, T Univ Tokyo Sch Engn Dept Elect Engn Bunkyo Ku Tokyo 1138656 Japan

ISBN: (纸本)0780374029

A human-like robust image recognition system inspired by a psychological brain model [1] has been developed aiming at direct implementation in the VLSI hardware. The Principal Axis Projection (PAP) technique [2] has been employed for feature vector generation, which very well represents the human-perception of similarity in images while substantially reducing the dimensionality. In this study, we have introduced the concept of multi resolution and PAP kernel scanning in the PAP based vector matching algorithm As a result, very robust image recognition has been demonstrated in gray scale images as well as in binary images. Interestingly, a large digit pattern formed as an aggregation of miniature digits like that shown in Fig. I can also be successfully recognized not only in the constituent small digits but also in the entire feature. Although the present algorithm is computationally very expensive, it has been designed fully compatible to execution on VLSI chips which we have developed for vector matching [3-5] and PAP vector generation.

关键词： visual perception brain models image representation edge detection vectors image resolution VLSI feature extraction image matching human perception image recognition system PAP vector representation multi resolution principal axis projection feature vector generation image similarity dimensionality reduction kernel scanning vector matching algorithm gray scale images binary images large digit pattern psychological brain model VLSI hardware

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