THESIS ON PALMPRINT RECOGNITION

Publisher University of Wolverhampton. To achieve this Fibonacci numbers have been used to generate a distribution of binary codes at every pixel position in order to create descriptors that are more robust against lighting variations of images. In addition, a feature extraction technique which combines pyramid histograms of oriented gradients and Pascal’s coefficient local binary patterns by concatenating the features for use in classification is also proposed. As biometric systems are vulnerable to replay, database and brute-force attacks, such potential attacks must be analyzed before they are massively deployed in security systems. Some of the major biometrics vastly used are Iris, fingerprint, voice recognition, face recognition. The amount of items that can be exported at once is similarly restricted as the full export. The amount of items that will be exported is indicated in the bubble next to export format.

These drawbacks cause a great loss to the concerned. Description A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy. Year Subject Department Author Type. Finger Knuckle Print and Palmprint for efficient person recognition. Publisher University of Wolverhampton. When enough users have cast their vote on this item, the average rating will also be shown. The third contribution is related to a novel feature extraction method applied for use in palmprint and Finger Knuckle Print recognition.

thesis on palmprint recognition

The aim of the project was to analyze the performance of SIFT on palmvein patterns and the palmprint to know which is more secure because even though both the metrics are extracted from the same region it is difficult to forge the palmvein pattern when compared to palm print. Collections Theses and Dissertations. The work investigates the theoretical concepts behind palmprint and finger knuckle print recognition and proposes new algorithms to extract thezis for recognition systems able to identify a person from a test sample with a strong degree of confidence.

Along with security, recognittion the privacy of the users is an important factor as the constructions of lines in palmprints contain personal characteristics. This is inspired by using the completed local binary pattern, termed the dynamic threshold CLBP, which employs only the sign and magnitude components.

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Actions login required View Item. Finger Knuckle Print and Palmprint for efficient person recognition. Abstract Palmar flexion crease matching is a method for verifying or establishing identity. Finally, a new feature set is developed palmpprint finger knuckle print recognition.

To this end, this thesis describes new methods of manual and automated palmar flexion crease identification, that can be used to identify palmar flexion creases in online palmprint images. But there exists some other biometrics which can be used to increase the security level like palmvein pattern.

In addition, a feature extraction technique which combines pyramid histograms of oriented gradients and Pascal’s coefficient local binary patterns by concatenating the features for use in classification is also proposed.

By default, clicking on the export buttons eecognition result in a download of the allowed maximum amount of items. New methods of oalmprint identification, that complement existing identification strategies, or reduce analysis and recogmition times, will benefit palmprint identification communities worldwide.

thesis on palmprint recognition

Downloads per month over past year. Providing authorized users with secure access to the services is a challenge to the personal identification systems. To export the items, click on the button corresponding with the preferred download format.

When enough users have cast their vote on this item, the average rating will also be shown. We propose a cryptographic approach to encrypt the palmprint images by an advanced Hill cipher technique for hiding the information on the palmprints.

Finger Knuckle Print and Palmprint for efficient person recognition

The recent developments in the biometrics area have lead to smaller, faster and cheaper systems, which in turn has increased the number of possible application areas for biometric identity verification.

The first contribution is concerned with the development of an ensemble learning framework using a variant of local binary patterns constructed from Pascal’s coefficients of order n, termed Pascal’s coefficient multiscale local binary pattern.

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Different formats are available for download. The third contribution is related to a novel feature extraction method applied for use in palmprint and Finger Knuckle Print recognition. Doctoral thesis, Northumbria University. The export option will allow you to export the current search results of the entered query to a file.

So, during the template generation, the encrypted palmprint sub-images are first decrypted and then the features are extracted.

After making a selection, click one of the export format buttons.

By applying Scale Invariant Feature Transform SIFT method on the biometrics palmprint and palmvein patterns we can analyze which metric is better and the efficiency in authentication by using different matching techniques. Advisors Sutton, Raul Dr.

Cast your vote You can rate an item by clicking the amount of stars they wish to award to this item. JavaScript is disabled for your browser. Year Subject Department Author Type.

Finger Knuckle Print and Palmprint for efficient person recognition – Northumbria Research Link

The amount of items that will be exported is indicated in the bubble next to export format. The overall aim of this work is to investigate biometric systems able to recognise people using their palmprints and finger knuckle prints. We propose a rotation and translation invariant preprocessing scheme which finds the central part of the palmprints.

A modified internal image seams algorithm was used to extract the flexion creases, and a matching algorithm, based on kd-tree nearest neighbour searching, was used to calculate the similarity between them.