Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kuo-Chun Lin

dblp:304/8854 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
3since 2021 · last 2024
0000-0002-1914-1511ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Biometric security · 100%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Biometric security
biometric template protection
0.812024
A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction · IEEE Trans. Dependable Secur. Comput. 2024
Biometric security › biometric template protection › biometric cryptosystem
fuzzy commitment
0.812024
A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction · IEEE Trans. Dependable Secur. Comput. 2024
Biometric security
iris recognition
0.812024
A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction · IEEE Trans. Dependable Secur. Comput. 2024
Coding theory
error-correcting codes
0.212024
A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction · IEEE Trans. Dependable Secur. Comput. 2024
Coding theory › error-correcting codes
LDPC codes
0.212024
A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction · IEEE Trans. Dependable Secur. Comput. 2024

Methods — techniques the papers use, named apart from their topics

template mapping · 1.5soft reliability extraction · 1.5dominating feature point selection · 1.5
YearPublicationVenuePosition
2024 A High-Security-Level Iris Recognition System Based on Multi-Scale Dominating Feature Points
abstract
In this letter, an error-correction-based iris recognition (EC-IR) scheme, which utilizes multi-scale dominating feature points (msDFPs), is constructed to enhance the security level against a stricter concern of error-correction-based attack, where the intruder is assumed to be fully aware of the architecture of the adopted error-correcting code. The extraction method of the msDFPs is proposed to alter the essence of raw iris data. Accordingly, it is shown that the proposed msDFPs-based EC-IR scheme provides a balanced design which guarantees both a large value of security bits and an enhanced recognition performance, and is particularly suited for real-world applications where a high-level security is paramount.
Kuo-Chun Lin, Yen-Ming Chen
IEEE Signal Process. Lett.1
2024 A High-security-level Iris Cryptosystem Based on Fuzzy Commitment and Soft Reliability Extraction
abstract
In this paper, an error-correction-based iris recognition (EC-IR) scheme that guarantees both secure template storage and high-level recognition accuracy is first constructed for personal authentication. From the analysis of both the soft reliability values for the iris bits and the recovery capability values for the low-density parity-check (LDPC) code bits, a method called template mapping is devised in order to freely adjust the error-correction capability of the EC-IR scheme. The design process for suitable LDPC codes is then investigated so as to provide a stable and high-rate EC-IR scheme. In order to further enhance the security level of the EC-IR scheme, we propose locating the dominating feature points (DFPs), and then using them for iris recognition rather than using the original binary templates acquired from the iris database. The DFP-based EC-IR scheme not only enhances the security level, but also provides a better equal error rate (EER) performance and a faster processing speed during the verification stage. As a result, an iris cryptosystem based on the fuzzy commitment strategy is eventually constructed founded on a comprehensive consideration of both a satisfactory recognition performance combined with a high security level.
Kuo-Chun Lin, Yen-Ming Chen
IEEE Trans. Dependable Secur. Comput.1
2021 A Low-Complexity High-Rate Spatial Multiplexing Aided Generalized Spatial Modulation Scheme
abstract
Spatial multiplexing aided spatial modulation (SMx-SM) is a communication technology which essentially combines the concepts of Vertical Bell Labs Layered SpaceTime (V-BLAST) and spatial modulation (SM). In this paper, we construct a high-rate spatial multiplexing aided generalized spatial modulation (SMx-GSM) scheme which guarantees a very low detection complexity. Benefiting from the codebook structure, a tree-search based MIMO detector for the SMx-GSM scheme can be devised. Simulation results show that the detection complexity can be significantly reduced, which makes a highrate system feasible, and an error performance which is very close to that of the maximum-likelihood (ML) detector can be achieved, especially for the case of a high-rate large-scale SMx- GSM system with a large number of activated transmit antennas.
Yen-Ming Chen, Kuo-Chun Lin, Yao-Hsien Peng, Aswin Balaji, Chih-Peng Li
PIMRC2