Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Kanagalakshmi, K.; Chandra, E.

doi:10.5120/15751-4708

Cited by 4 publications

(5 citation statements)

References 30 publications

(25 reference statements)

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“…A Smart Card Based Cancelable Finger-Vein Bio-Cryptosystem for securing mobile healthcare data through fuzzy commitment biometric cryptographic technique had been proposed by Yang et al [45]. Kanagalakshmi et al [46] had built 'Complex Conjugate Phase Transform Technique' to generate the cancelable and irrevocable template for fingerprint biometric. Yang et al [47] had introduced a template generation method based on machine learning techniques with cryptographic hash values.…”

Section: Biometric-cryptographymentioning

confidence: 99%

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

et al. 2020

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A novel cancelable FaceHashing technique based on non-invertible transformation with encryption and decryption template has been proposed in this paper. The proposed system has four components: face preprocessing, feature extraction, cancelable feature extraction followed by the classification, and encryption/decryption of cancelable face feature templates. During face preprocessing, the facial region of interest has been extracted out to speed the process for evaluating discriminant features. In feature extraction, some optimization techniques such as Sparse Representation Coding, Coordinate descent, and Block coordinates descent have been employed on facial descriptors to obtain the best representative of those descriptors. The representative descriptors are further arranged in a spatial pyramid matching structure to extract more discriminant and distinctive feature vectors. To preserve them, the existing BioHashing technique has been modified and extended to some higher levels of security attacks and the modified BioHashing technique computes a cancelable feature vector by the combined effect of the facial feature vector and the assigned token correspond to each user. The elements of computed cancelable feature vector are in a numeric form that has been employed to perform both verifications as well as identification task in online while the original facial feature vectors are kept offline either in hard drive or disc. Then, to enhance more security levels and also to preserve the cancelable face features, an RSA based encryptiondecryption algorithm has been introduced. The proposed system has been tested using four benchmark face databases: CASIA-FACE-v5, IITK, CVL, and FERET, and performance are obtained as correct recognition rate and equal error rate. The performance are compared to the state-of-the-art methods for the superiority of the proposed feature extraction technique and individual performance analysis has been performed at all the security levels of the proposed Cancelable FaceHashing Technique. These comparisons show the superiority of the proposed system.

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Section: Biometric-cryptographymentioning

confidence: 99%

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

et al. 2020

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“…Kanagalakshmi et al [12] presents another method comprising of building distinctive stages, for example, preprocessing, details extraction, post preparing and cancelable and unavoidable layout era. A cancelable format is created utilizing biometrics unique mark highlights.…”

Section: Related Workmentioning

confidence: 99%

Cancelable Face Template Protection using Transform Features for Cyberworld Security

Kausar¹

2020

IJACSA

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Cyber world becomes a fundamental and vital component of the physical world with the increase of dependence on internet-connected devices in industry and government organizations. Provision of privacy and security of users during online communication offers unique cybersecurity challenges for industry and government. Intrusion is one of the crucial issues of cybersecurity, which can be overcome by providing the vigorous authentication solutions. Biometrics authentication is used in different cybersecurity systems for user authentication purpose. The cancelable biometric is a solution to rid of privacy problems in traditional biometric systems. This paper purposes a new cancelable face authentication method, which uses Hybrid Gabor PCA (HGPCA) descriptor for cyberworld security. The proposed method uses the wavelet transform for the extraction of the features of the face images by using Gabor filter and Principal Component Analysis (PCA). Later, both types of features have been ensemble by using the simple concatenation scheme. Then scrambling has been applied to the fused features by using the random key generated by the user. So finally, scrambled fused features has been stored in the database which are used for the cancelable biometric authentication as well as recovery. HGPCA achieves "cancelability" and increases the authentication accuracy. The proposed method has been tested on three standard face datasets. Experimental results of the proposed method have been compared with existing methods by using standard quantitative measures that show superiority over existing methods.

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“…The trial results show that the rule for cancelability is met. K. Kanagalakshmi [8] proposed a technique called Reciprocated Magnitude and Complex Conjugate-Phase transformation. It is a cancelable and unavoidable biometric template creating procedure.…”

Section: Review Of Literaturementioning

confidence: 99%

“…It is evaluated in various certainties like Cancelability, Irrevocability and Security. K.Kanagalakshmi and E.Chandra [9], "Novel Complex Conjugate-Phase Transform strategy for cancelable and unavoidable biometric template for fingerprints, the complex conjugate stage Transform are utilized to ascertain normal time of biometric template creation and coordinating are likewise determined. Most extreme memory utilization of the biometric template is likewise determined.…”

Section: Review Of Literaturementioning

confidence: 99%

Multimodal Transpose Rotation Mobius Transformation Based Cancellable Template Generation Technique

Kanagalakshmi,

Lakshmipriya

2019

IJEAT

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Cancelable biometric is such a template security conspire, that replaces a biometric template when the stored template is taken or lost. It is a feature level area transformation where a misshaped variant of a biometric template is produced and coordinated in the transformed space. The issue persevere with the utilization of unique template can be abstained from utilizing cancellable biometrics. In this work, a nonexclusive structure has been intended for producing irreversible portrayal of templates of multimodal which depends on Mobius transformation on unique picture. So the template security is additionally improved. The simulation output of the proposed framework give better execution in Identification of clients. Another strategy called "MTRMT" is proposed to address the issue of stored Templates. The Proposed epic strategy has been assessed with the ongoing fingerprint got from 50 volunteers of veerapandi village in Coimbatore locale. The exploratory outcome shows the better execution of the proposed framework.

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Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Cited by 4 publications

References 30 publications

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

A Novel Cancelable FaceHashing Technique Based on Non-Invertible Transformation With Encryption and Decryption Template

Cancelable Face Template Protection using Transform Features for Cyberworld Security

Multimodal Transpose Rotation Mobius Transformation Based Cancellable Template Generation Technique

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