FPGA Implementation of Fingerprint Recognition System using Adaptive Threshold Technique

Bhairannawar, Satish S.; R, Anand; Raja, K B; Venugopal, K R

doi:10.1109/eesco.2015.7253994

Cited by 3 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A biometric system is basically a pattern recognition system that works by getting biometric information from an individual, extracting a feature set from the given data, and comparing these features with the feature set in the database. Depend upon the application setting; a biometric framework may work either in verification mode or Identification mode [1]. In the verification mode, the frame work accepts a person's identity by contrasting the caught biometric information and her own biometric template(s) stored in the system database.…”

Section: Biometric Systemsmentioning

confidence: 99%

Secure Multimodal Biometric Recognition Based on Speech, Face and Fingerprint Using Feature Level Fusion Approach

Kaur¹,

Kaur²

2018

International Advanced Research Journal in Science, Engineering

View full text Add to dashboard Cite

Biometric is the field for user authentication and verification as well as for providing security from unauthorized access. Various biometric traits have been utilized for development of secure model to provide security. Uni-modal biometric system has been designed to authorize user identity. These systems use single biometric traits that can be used for recognition process. Biometric traits are face, finger, iris, palm, vain and speech. On the basis of these systems authentication models have been prepared that can be used for user validation. The main problem in uni-modal biometric system is that due to use of single trait of biometric it is an easy process to capture biometric identification of individual. In recent research multimodal biometric authentication systems have been developed that can be used for authentication of the users. To overcome security threats in the proposed work face finger and voice based traits have been included to develop more accurate and secure system.

show abstract

Section: Biometric Systemsmentioning

confidence: 99%