Peer et al., 2014 - Google Patents
Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenariosPeer et al., 2014
View PDF- Document ID
- 14318719168741187211
- Author
- Peer P
- Emeršič
- Bule J
- Žganec-Gros J
- Štruc V
- Publication year
- Publication venue
- Mathematical problems in engineering
External Links
Snippet
Cloud computing represents one of the fastest growing areas of technology and offers a new computing model for various applications and services. This model is particularly interesting for the area of biometric recognition, where scalability, processing power, and storage …
- 230000004927 fusion 0 abstract description 112
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5044—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering hardware capabilities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5055—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering software capabilities, i.e. software resources associated or available to the machine
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5066—Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
- G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP4320606B1 (en) | Personalized biometric anti-spoofing protection using machine learning and enrollment data | |
| Li et al. | Open set face recognition using transduction | |
| Muthukumar et al. | A biometric system based on Gabor feature extraction with SVM classifier for Finger-Knuckle-Print | |
| US7492943B2 (en) | Open set recognition using transduction | |
| US9189686B2 (en) | Apparatus and method for iris image analysis | |
| Choudhary et al. | Enhancing human iris recognition performance in unconstrained environment using ensemble of convolutional and residual deep neural network models: M. Choudhary et al. | |
| Peer et al. | Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenarios | |
| AU2019200711A1 (en) | Biometric verification | |
| Islam | Feature and score fusion based multiple classifier selection for iris recognition | |
| Liang et al. | A hierarchical framework for facial age estimation | |
| Peng et al. | An improvement to linear regression classification for face recognition | |
| Chen et al. | Efficient iris recognition based on optimal subfeature selection and weighted subregion fusion | |
| US20250217952A1 (en) | Multiple Fraud Type Detection System and Methods | |
| Rani et al. | A review on offline signature recognition and verification techniques | |
| Appati et al. | Implementation of a Transform‐Minutiae Fusion‐Based Model for Fingerprint Recognition | |
| Jadhav et al. | HDL-PI: hybrid DeepLearning technique for person identification using multimodal finger print, iris and face biometric features | |
| Qin et al. | Finger-vein quality assessment based on deep features from grayscale and binary images | |
| Qin et al. | Finger-vein image quality evaluation based on the representation of grayscale and binary image | |
| Omara et al. | LDM-DAGSVM: learning distance metric via DAG support vector machine for ear recognition problem | |
| Khoh et al. | Score level fusion approach in dynamic signature verification based on hybrid wavelet‐Fourier transform | |
| Sami et al. | Benchmarking human face similarity using identical twins | |
| CN110020617A (en) | A kind of personal identification method based on biological characteristic, device and storage medium | |
| CN112380369B (en) | Training method, device, equipment and storage medium of image retrieval model | |
| Kavitha et al. | Fuzzy local ternary pattern and skin texture properties based countermeasure against face spoofing in biometric systems | |
| Bokade et al. | An ArmurMimus multimodal biometric system for Khosher authentication |