Efficient method of person authentication based on fusion of best bits in left and right irises

Latha, L.; Thangasamy, S.

doi:10.1504/ijbm.2012.047640

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Captured images are preprocessed to remove background noise, then image is enhanced to get the appropriate features and Region of Interest (diameter of nut) is extracted to measure the diameter [11]. If any anomaly is found in the attributes (diameter) of the mechanical components, an electrical signal will be sent to the Solenoid valve and then it actuates deflector plate by the pneumatic cylinder.…”

Section: Fig 1 Hardware Setupmentioning

confidence: 99%

Image Processing Based Fault Detection And Isolation For Mechanical Components

Priya¹,

Sudha²

2019

IJEAT

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Fault Detection and Isolation (FDI) is essential in mechanical industry to detect and isolate objects with manufacturing defect. At present in assembly line, mechanical components are transported from one stage to other stage for assembly, packing etc. During this process, components are randomly drawn from the conveyor belt and manually inspected. Since the random inspection is done manually, there is a chance of missing out defected components in the assembly line. Manual inspection is time consuming and all the features of the components cannot be verified accurately. Hence, there is a need for a image processing based system to detect the anomalies in the components sent in the conveyor belt. In this work, camera is mounted above the conveyor module and captures the images of nuts and bolts which moving on conveyor belt. Captured images are preprocessed to remove background noise, then image is enhanced to get the appropriate features and Region of Interest (diameter of nut) is extracted to measure the diameter. If any anomaly is found in the attributes (diameter) of the mechanical components, an electrical signal will be sent to the Solenoid valve and then it actuates deflector plate by the pneumatic cylinder. Defected component is then carried by the secondary conveyor to the re-matching and the quality product are then carried to the packaging will passed to the separator through microcontroller. In this way, components with manufacturing defect are identified and isolated from assembly line

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Section: Fig 1 Hardware Setupmentioning

confidence: 99%

Image Processing Based Fault Detection And Isolation For Mechanical Components

Priya¹,

Sudha²

2019

IJEAT

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“…Some of these problems can be tackled while some cannot. Most of the existing works are on iris recognition accuracy [17,18,19] on non-African datasets, some of them are summarized in Table 1. This paper focused on the recognition and process speed of iris algorithm besides accuracy.…”

Section: Introductionmentioning

confidence: 99%

Reanalyzing Li and Tao. (2014): Investigating Algorithm Recognition on Dark Irises

Omotosho¹,

Adegbola²,

Edobor³

2016

IJCA

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Iris recognition algorithms have been proposed in several works with some of these algorithms solving mainly templates identification accuracy issues. The need to test these algorithms for identification or matching speed cannot be over-emphasized as this is also important when deploying algorithms in real application. This aim of this paper is to implement and validate a selected iris recognition algorithm. Performance evaluation was performed with the sole purpose of verifying the literature reported accuracy for the selected algorithm as well as to compute its identification speed on two databases (CASIA and BuIris) containing 600 iris images each. Results obtained matched the earlier 0% false acceptance with CASIA database but 42.3% with BuIris. This paper results verifies the scope of this algorithm and the need for improvement that could increase its adoptability globally.

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Compensating for pose and illumination in unconstrained periocular biometrics

Padole

Proença

2013

IJBM

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Efficient method of person authentication based on fusion of best bits in left and right irises

Cited by 3 publications

References 29 publications

Image Processing Based Fault Detection And Isolation For Mechanical Components

Image Processing Based Fault Detection And Isolation For Mechanical Components

Reanalyzing Li and Tao. (2014): Investigating Algorithm Recognition on Dark Irises

Compensating for pose and illumination in unconstrained periocular biometrics

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