Implementation of a palmprint recognition system

Implementation of remote system using touchless palmprint recognition algorithm

The code provided has to be considered "as is" and it is without any kind of warranty. The project focuses on storing images and implementing the matching algorithms on hardware platform itself such that PC or laptop is not needed for identification purpose.

Embedded devices are gaining increased attention in biometrics due to reliability and cost efficient systems. Principal component analysis PCA and template matching techniques are used as verification algorithms of palm veins.

The aim of this proposed work is to implement palm vein identification system on hardware unit so that it can be further build into a single standalone unit, where it can be used in final level security in multilayered security system without any possibility of hacking.

Proposed algorithm results computationally inexpensive and it can run also in a low-cost pc such as Raspberry PI. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.

New - Speaker Verification System Text-Independent Speaker Authentication There are two major applications of speaker recognition technologies and methodologies. The hardware platform used in the proposed work is Blackfin ADSP processor and the algorithms used for matching of palm vein are performed using C language.

This palm vein verification system aims to recognize a person from its exclusive palm vein organization that cannot be forged easily since veins are situated in inner layers of skin. New - WebCam Face Identification Face Recognition Based on Fractional Gaussian Derivatives Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.

The bits of watermark are grouped together and for each sequence a different modulation coefficient is used.

Under a Creative Commons license Abstract Among the biometric modalities palm veins are the most secure and difficult to duplicate. Previous article in issue. If the speaker claims to be of a certain identity and the voice is used to verify this claim, this is called verification or authentication.

An embedded palm vein recognition system is the need of today in institutes, industries, security places etc.

New - Java Face Recognition Java-based Biometric Authentication System Face recognition is essential in many applications, including mugshot matching, surveillance, access control and personal identification, and forensic and law enforcement applications. The code was developed with Matlab 14 SP1.When a cellular phone is lost or stolen, it may be used improperly or the personal information may be stolen from it by a malicious user.

Biometric authentication such as palm-print recognition is the strongest of the personal authentication technologies designed to prevent such misuse. Among the biometric modalities palm veins are the most secure and difficult to duplicate.

This palm vein verification system aims to recognize a person from its exclusive palm vein organization that cannot be forged easily since veins are situated in inner layers of skin. This paper presents our study related to the design, implementation and evaluation of an embedded real-time multispectral palmprint biometric system.

Its accuracy performance for recognition and verification is measured using the Region Of Interest (ROI) version of the PolyU multispectral palmprint database [35].

The system functions by projecting palmprint images onto a feature space that spans the significant variations among known images. The significant features are known as "eigenpalms" because they are the eigenvectors (principal components) of the set of palmprints.

CHAPTER -VI. 6. CONCLUSION & SCOPE OF FUTURE WORK.

There are some key aspects to discuss about this thesis in general. First, it is important to mention that the main objective of this work - implementation of a palmprint recognition system - was successfully accomplished.

Survey of Palmprint Recognition Abstract— A biometric system is essentially a pattern recognition system which makes a personal identification by determining the In paper [26] the implementation of Log Gabor function for palm recognition is done, further.

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Implementation of a palmprint recognition system
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