Palmprint template protection scheme based on randomized cuckoo hashing and MinHash

Li, Hengjian; Qiu, Jian; Teoh, Andrew Beng Jin

doi:10.1007/s11042-019-08446-8

Cited by 23 publications

(9 citation statements)

References 29 publications

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“…More recently, Nayar et al [18] developed a palm-vein graph template transformation based on the partitioning of palm-vein lines into blocks according to random numbers. For palmprint template protection, Li et al [26] proposed a filter-based cancellable palmprint recognition by improving the irreversibility property of a bloom filter. Wu et al [27] proposed a palmprint fuzzy commitment system for palmprint template protection, leveraging a cancellable deep hashing code template.…”

Section: Deep Learning Based Handcrafted Based Cancellable Biometricsmentioning

confidence: 99%

“…Table 1 [13–41], summarises representative literatures in related fields of palm‐vein, palmprint, fusion of palm‐vein and palmprint and cancellable biometrics applied to these related fields. From the methodological perspective, the table also categorises the literature into deep learning‐based, handcrafted‐based and cancellable methods.…”

Section: Related Workmentioning

confidence: 99%

“…For palmprint template protection, Li et al. [26] proposed a filter‐based cancellable palmprint recognition by improving the irreversibility property of a bloom filter. Wu et al.…”

Section: Related Workmentioning

confidence: 99%

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Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification

Lee,

Oh,

Toh

2024

CAAI Trans on Intel Tech

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A novel method based on the cross‐modality intersecting features of the palm‐vein and the palmprint is proposed for identity verification. Capitalising on the unique geometrical relationship between the two biometric modalities, the cross‐modality intersecting points provides a stable set of features for identity verification. To facilitate flexibility in template changes, a template transformation is proposed. While maintaining non‐invertibility, the template transformation allows transformation sizes beyond that offered by the conventional means. Extensive experiments using three public palm databases are conducted to verify the effectiveness the proposed system for identity recognition.

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Section: Deep Learning Based Handcrafted Based Cancellable Biometricsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification

Lee,

Oh,

Toh

2024

CAAI Trans on Intel Tech

View full text Add to dashboard Cite

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“…Palmprint : It includes flexion creases and distinct ridges similar to a fingerprint. Minutiae and creases are common feature representations that are extracted for authentication purposes [ 50 ].…”

Section: Biometrics Overviewmentioning

confidence: 99%

Biometrics for Internet-of-Things Security: A Review

Yang

Wang

Sahri

et al. 2021

Sensors

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The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

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“…The method can restore the 60% of the original template when the permutation key and stolen template are accessible [51]. Li et al [52] proposed cancelable palm-print template based on randomized cuckoo hashing and minHash. Initially, palm-print features are extracted by utilizing anisotropic filter and further secured by randomized cuckoo hashing.…”

Section: Introductionmentioning

confidence: 99%

Upgrading Information Security and Protection for Palm-Print Templates

Poonia

Ajmera

2022

Wireless Pers Commun

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Biometric systems proven to be one of the most reliable and robust method for human identification. Integration of biometrics among the standard of living provokes the necessity to vogue secure authentication systems. The use of palm-prints for user access and authentication has increased in the last decade. To give the essential security and protection benefits, conventional neural networks (CNNs) has been bestowed during this work. The combined CNN and feature transform structure is employed for mapping palm-prints to random base-n codes. Further, secure hash algorithm (SHA-3) is used to generate secure palm-print templates. The proficiency of the proposed approach has been tested on PolyU, CASIA and IIT-Delhi palm-print datasets. The best recognition performance in terms of Equal Error Rate (EER) of 0.62% and Genuine Acceptance Rate (GAR) of 99.05% was achieved on PolyU database.

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Palmprint template protection scheme based on randomized cuckoo hashing and MinHash

Cited by 23 publications

References 29 publications

Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification

Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification

Biometrics for Internet-of-Things Security: A Review

Upgrading Information Security and Protection for Palm-Print Templates

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