Thermal Imaging As A Biometrics Approach To Facial Signature Authentication

Tamayo, Ana M Guzman

doi:10.25148/etd.fi11120916

Cited by 2 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The image morphology methods are used for analyzing the shape and size of face vein images like length and breadth of face vein image. After co mpleting the noise removal process, the template and s ignature of object will be generated and then it is matched with other person and the result is obtained [23] [24].…”

Section: R=smentioning

confidence: 99%

Veins Based Personal Identification Systems: A Review

Mishra¹,

Mishra²,

Agrawal³

2016

IJISA

View full text Add to dashboard Cite

Abstract-Identification of people among each other has always been a tough and challenging task for the researchers. There are many techniques which are used for identify ing a person but biometric technique is the standard one which allows us for online identification of individuals on the basis of their physiological and behavioral features. The veins based systems include finger veins, face veins, palm veins, head veins, heart veins, iris, palatal veins of the rogue etc. The multi-veins based systems use the veins of different physiological traits for identifying a person. This paper illustrates an overview of veins based personal identificat ion systems . The perfo rmance of different single and multi-veins based identification systems are analyzed in this paper. The features like reliability, security, accuracy, robustness and long term stability along with the strengths and weaknesses of various veins based biometric approaches were taken into considerations while analy zing the results of existing research papers published so far. At last the future research directions in the field of veins based identification systems have also been outlined.

show abstract

Section: R=smentioning

confidence: 99%

Veins Based Personal Identification Systems: A Review

Mishra¹,

Mishra²,

Agrawal³

2016

IJISA

View full text Add to dashboard Cite

show abstract

“…They used feature extraction method and FLIRT technique for the processing of registered image. The method proposed by Guzman et al identifies a person correctly [13]. Wang Ning et al used Multibiometric system in which multiple faces are compared with each other by taking the help of complex fusion method [34].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Step II: Noise Removal (After completing the face segmentation process the noise removal process will be used to remove noise disturbances like hair, neck, and ear. The Perona-Malik-Anistropic filter is used for noise removal [13]. )…”

Section: A Extracting Face Veins From Thermal Imagementioning

confidence: 99%

“…The sample of actual image, thermal image, face veins image and thinned face veins patterns is represented by fig. 1 [13].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed technique is using some important steps like extracting face veins from thermal image; thinning face veins; constructing minutiae graph (MG) from the thinned face veins image; finding minimum cost minutiae tree (MCMT); traversing MCMT and matching the results. [13] In the next section II we have described and reviewed the literature of research papers published on the topic related to face veins based personal identification. In section III we have developed mathematical model for describing the structure of our proposed technique.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Face Veins Based MCMT Technique for Personal Identification

Mishra¹,

Mishra²,

Agrawal³

2015

IJISA

View full text Add to dashboard Cite

Face veins based personal identification is a challenging task in the field of identity verification of a person. It is because many other techniques are not identifying the uniqueness of a person in the universe. This research paper finds the uniqueness of a person on the basis of face veins based technique. In this paper five different persons face veins images have been used with different rotation angles (left/right 90 0 to 270 0 and 315 0). For each person, eight different images at different rotations were used and for each of these images the same minimum cost minutiae tree (MCMT) is obtained. Here, Prim"s or Kruskal"s algorithm is used for finding the MCMT from a minutiae graph. The MCMT is traversed in pre-order to generate the unique string of vertices and edge lengths. We deviated the edge lengths of each MCMT by five pixels in positive and negative directions for robustness testing. It is observed in our experiments that the traversed string which consists of vertices and edge lengths of MCMT is unique for each person and this unique sequence is correctly identifying a person with an accuracy of above 95%. Further, we have compared the performance of our proposed technique with other standard techniques and it is observed that the proposed technique is giving the promising result.

show abstract

Thermal Imaging As A Biometrics Approach To Facial Signature Authentication

Cited by 2 publications

References 6 publications

Veins Based Personal Identification Systems: A Review

Veins Based Personal Identification Systems: A Review

Face Veins Based MCMT Technique for Personal Identification

Contact Info

Product

Resources

About