Multi sensor, multi algorithm based face recognition &amp; performance evaluation

Dabhade, Siddharth B.; Bansod, Nagsen S.; Rode, Yogesh S.; Kazi, M. M.; Kale, K. V.

doi:10.1109/icgtspicc.2016.7955280

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Where C -1 = covariance inverse matrix. From the results of [15] PCA+MD outperforms significantly in comparison to PCA+ED in face recognition.…”

Section: Dist Cb ((X Y) (A B)) = |X -A| + |Y -B| (9)mentioning

confidence: 95%

Novel Distance Metric for Touch less Footprint Based Identification Technique

Gupta*¹,

Deepa²

2020

IJITEE

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In this fast-paced technology-driven today's era, biometrics is not the new buzzword in the information security domain. Biometrics uses any physiological or/ and behavioral attribute/s of an individual for personal identification and/or verification. In biometrics, so many traits, like a fingerprint, face, palm, retina, iris, ECG, gait, voice, and signature, etc., have been used from ages to uniquely identify a human being. Biometrics based on Footprints is the latest practice for personal identification. Like fingerprints and palmprints, footprints of individuals carry uniqueness; hence can be used in biometrics for personal recognition. This work investigates the powerfulness of footprints by extracting texture and shape features using Principal Component Analysis (PCA) method based upon Eigenfeet and introduces a new distance metric during the matching phase. Experimental results show that the new distance metric shows better results in comparison to the Euclidean, Manhattan and Mahalanobis distances.

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“…Where C -1 = covariance inverse matrix. From the results of [15] PCA+MD outperforms significantly in comparison to PCA+ED in face recognition.…”

Section: Dist Cb ((X Y) (A B)) = |X -A| + |Y -B| (9)mentioning

confidence: 95%

Novel Distance Metric for Touch less Footprint Based Identification Technique

Gupta*¹,

Deepa²

2020

IJITEE

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A Review for Detecting Keratoconus Using Different Techniques

Bakal,

Bansod,

Kadam

et al. 2023

Lecture Notes in Networks and Systems

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Image Acquisition for Biometric: Face Recognition

Dabhade¹,

Bansod²,

Rode³

et al. 2022

Recent Advances in Biometrics

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Biometrics is mostly used for authentication purposes in security. Due to the covid-19 pandemic situation, nowadays distance-based authentication systems are more focused. Face recognition is one of the best approaches which can use for authentication at distance. Face recognition is a challenging task in various environments. For that taking input from the camera is very important for real-time applications. In this chapter, we are more focusing on how to acquire the face image using MATLAB. The complete chapter is divided into five sections introduction, definition of biometrics, image acquisition devices, image acquisition process in MATLAB.

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Multi sensor, multi algorithm based face recognition & performance evaluation

Cited by 3 publications

References 26 publications

Novel Distance Metric for Touch less Footprint Based Identification Technique

Novel Distance Metric for Touch less Footprint Based Identification Technique

A Review for Detecting Keratoconus Using Different Techniques

Image Acquisition for Biometric: Face Recognition

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