Extracting Features for Fingerprint Recognition and Matching
Fingerprint matching is used extensively in biometric identity verification for purposes ranging from forensic to recreational. The set of geometrical patterns, such as the ridges,
Tag: Recognition
Fingerprint Segmentation Using Deep Learning
Automatic fingerprint recognition systems are based on the extraction of features from scanned fingerprint image. A successful preprocessing of the scan is an important first
OCR for robots
Robotic tasks may involve reading and understanding written text. When conditions are optimal, camera mounted on robots allow them to interpret text without major obstacles: but oftentimes, this OCR task for robots needs to overcome difficulties, be these due to the position and type of the camera, lighting conditions, the quality of written characters, the shape of the object bearing the text or else. RSIP Vision engineers are experts also in this branch of OCR and can recommend the best solution for your project.
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Robots Using Machine Vision in Retail
Here are practical examples of robots using Machine Vision techniques in retail applications and tasks, going from picking, sorting and packaging activities within a distribution warehouse to store inventory management, customer service and other robotic automation tasks. This articles by RSIP Vision hints also at future version of robots, directly servicing customers in retail shops.
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Automatic Object Recognition Algorithm
Automatic object recognition is a highly challenging task in computer vision. These challenges can be caused by many factors reducing the recognition rate of a
Pattern Recognition for Lens Markings Detection
Lens marking refers to the placement of temporary and/or permanent marking, semi-visible laser engraving for the use of lens identification and trademarks, and accurate placement
Bounded Objects Detection and Related Applications in Forestry
Using aerial images taken by drone, plane or satellite, RSIP Vision develops software for image processing and analysis in forestry to efficiently determine: Forest border
Real time OCR in natural scenes
With the advancement in technology, the demand for OCR in natural environment is growing, even though outdoor conditions are far from being optimal for machine vision applications: occlusion of written text, text orientation, font style, blurring due to camera motion, and lighting conditions can prove themselves significant challenges in the task of performing real time OCR. Great progress has recently been made in the recognition of characters partially occluded and under heavy noise. RSIP Vision tells you how.
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Animal Monitoring With Pattern Recognition
Automatic Identification of Pigs in a Pen Using Pattern Recognition The growing demand for animal products is characterized, at the farmer’s end, by an
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