| Allicdata Part #: | BEL16123-ND |
| Manufacturer Part#: |
FM4MFA2018M |
| Price: | $ 544.71 |
| Product Category: | Uncategorized |
| Manufacturer: | Belden Inc. |
| Short Description: | FMT OM4 MPO12(F-F) A 24F 18M |
| More Detail: | Cable Fiber Optic To |
| DataSheet: |  FM4MFA2018M Datasheet/PDF |
| Quantity: | 1000 |
| 1 +: | $ 495.19300 |
Specifications
| Series: | * |
| Part Status: | Active |
Description
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FM4MFA2018M application field and working principle are widely studied in fields of industrial automation, security and computer vision technologies. FM4MFA2018M, or fingerprint matching four-way matching algorithm with fingerprint features, is a method used for match between a fingerprint image and a feature template. It has been used for various applications such as biometrics recognition, fraud prevention, and digital forensic. The algorithm includes two steps, and each step is of importance to the final matching result.The first step of FM4MFA2018M is the feature extraction of the captured fingerprint image. The captured image is divided into eight equal-sized blocks. Then the ridge details such as ridge width, ridge angles, and ridge length are extracted from each block by the Gabor FIR (finite-impulse-response) filter along all directions to form a feature template.In the second step of the algorithm, the feature template from the first step is compared with the target fingerprint template. The comparison is done in four different directions (Horizontal, Vertical, Diagonal-1, and Diagonal-2). After the four-way comparison is done the final matching score is obtained. If the matching score is above the preset threshold, then the match is successful.The FM4MFA2018M algorithm has been successfully used in biometric recognitions, fraud prevention, and digital forensics. It can also be used to identify locations or objects from a fingerprint. For example, it can be used to identify the source of a document, or the location of the computer which created the document. It can also be used in the authentication of online transactions by storing the fingerprint template and verifying it against a live fingerprint or using the stored template.In conclusion, FM4MFA2018M is an efficient algorithm for matching fingerprint images and feature templates. It is used to ensure the authenticity and integrity of data by verifying identity and confirming locations among other things. With its application in a variety of fields, this technology is often used to increase the security of data and transactions.
The specific data is subject to PDF, and the above content is for reference
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