visual pattern recognision,cbir,face recognition,iris recognition,fingerprint recognition,image inprinting
Pre-processing of a fingerprint image involves a series of techniques aimed at enhancing the quality of the fingerprint for better analysis and recognition. This process typically includes noise reduction, contrast enhancement, and normalization to improve clarity and detail. Additionally, it may involve fingerprint segmentation to isolate the fingerprint from the background and ridge extraction to highlight the unique patterns. These steps are crucial for increasing the accuracy of fingerprint recognition systems.
Frank Y. Shih has written: 'Image processing and pattern recognition' -- subject(s): Image processing, Signal processing, Pattern recognition systems
John C. Russ has written: 'Computer-assisted microscopy' -- subject(s): Data processing, Image processing, Microscopy, Optical pattern recognition 'The Image Processing Handbook' 'Journal of Computer-Assisted Microscopy' 'Fractal surfaces' -- subject(s): Surfaces (Physics), Fractals, Measurement 'The Image Processing Handbook, Fifth Edition (Image Processing Handbook)' 'The image processing handbook' -- subject(s): Handbooks, manuals, Handbooks, manuals, etc, Image Processing, Computer-Assisted, Image processing 'Materials Science'
Signal processing's goals include many things, most importantly: sampling, quantization, noise reduction, image enhancement, image understanding, speech recognition, and video compression.
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
A fingerprint laboratory typically contains equipment for analyzing and comparing fingerprints, including fingerprint databases, fingerprint collection tools such as inkpads or scanners, specialized software for image enhancement and pattern recognition, and a secure storage system for maintaining records. Trained forensic experts use these resources to identify individuals based on their fingerprints and support criminal investigations.
Lawrence O'Gorman has written: 'Document image analysis' -- subject(s): Image processing, Digital techniques 'Executive briefing' -- subject(s): Optical character recognition devices, Document imaging systems, Image processing, Digital techniques
One can extract information from a picture by using image processing techniques such as image recognition, object detection, and optical character recognition (OCR). These methods analyze the visual content of the image to identify objects, text, or patterns, and convert them into readable data.
The skew command in image processing is used to correct distortions in an image caused by perspective or camera angle, effectively realigning the image to a desired orientation. This adjustment helps in enhancing the visual quality and clarity of the image, making it more suitable for analysis or presentation. Skew correction is particularly important in document scanning and OCR (optical character recognition) applications, where accurate text recognition relies on properly aligned text.
Charles Addison Bouman has written: 'Computational imaging VII' -- subject(s): Congresses, Imaging systems, Image processing, Pattern recognition systems, Digital techniques 'Computational imaging VII' -- subject(s): Congresses, Imaging systems, Image processing, Pattern recognition systems, Digital techniques
Minsoo Suk has written: 'Three-dimensional object recognition from range images' -- subject(s): Computer vision, Digital techniques, Image processing, Optical pattern recognition