Cmos Fingerprint Sensor With Automatic Local Contrast Adjustment And Pixelparallel Encoding Logic

• doi: 10.1109/VLSIC.1999.797270
• title: CMOS fingerprint sensor with automatic local contrast adjustment and pixel-parallel encoding logic
• publisher: IEEE
• isbn: 4-930813-95-6
• issn:
• partnum: 99CH36326
• rank: 1813
• access_type: LOCKED
• content_type: Conferences
• abstract: A CMOS fingerprint sensor is presented with a self-biasing automatic local contrast adjustment technique for image binarization realized with a passive capacitive network. Pixel-parallel cellular logic is embedded into the sensor array and extracts the characteristic features of the fingerprint image without any additional area consumption. This single-chip sensing and encoding system is suited for low-power and low-cost applications.
• article_number: 797270
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=797270
• html_url: https://ieeexplore.ieee.org/document/797270/
• abstract_url: https://ieeexplore.ieee.org/document/797270/
• publication_title: 1999 Symposium on VLSI Circuits. Digest of Papers (IEEE Cat. No.99CH36326)
• conference_location: Kyoto, Japan
• conference_dates: 17-19 June 1999
• publication_number: 6473
• is_number: 17302
• publication_year: 1999
• publication_date: 17-19 June 1999
• start_page: 161
• end_page: 164
• citing_paper_count: 5
• citing_patent_count: 1
• download_count: 145
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Fingerprint recognition
    • CMOS image sensors
    • Sensor phenomena and characterization
    • Sensor arrays
    • Logic arrays
    • Capacitive sensors
    • Pixel
    • CMOS logic circuits
    • Image sensors
    • Feature extraction
  • dynamic_index_terms:
    • Automatic Adjustment
    • Fingerprint Sensors
    • Binary Image
    • Sensor Array
    • Low-power Applications
    • Passive Network
    • Low-cost Applications
    • Electrode
    • Image Processing
    • Input Image
    • Processing Elements
    • Reference Signal
    • Low Power Consumption
    • Electrode Array
    • Local Reference
    • Digital Image Processing
    • Boundary Extraction
    • Image Optimization
    • Computer Image Processing
    • Good Image Quality
    • Good-quality Images
    • Ridgeline
    • Crest Lines
• isbn_formats:
  • format: Print ISBN, value: 4-930813-95-6, isbnType: Historical
• authors:
  • Author Name: S. Jung
    Affiliation: Corporate Technology Department, Siemens AG, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37089094291
    ID: 37089094291
    Order: 1
    Author Affiliations:
    • Corporate Technology Department, Siemens AG, Munich, Germany
    • Microelectronics Department, University of Dortmund, Dortmund, Germany
  • Author Name: R. Thewes
    Affiliation: Corporate Technology Department, Siemens AG, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37275567900
    ID: 37275567900
    Order: 2
    Author Affiliations:
    • Corporate Technology Department, Siemens AG, Munich, Germany
  • Author Name: T. Scheiter
    Affiliation: Semiconductor Group, Siemens AG, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37374634500
    ID: 37374634500
    Order: 3
    Author Affiliations:
    • Semiconductor Group, Siemens AG, Munich, Germany
  • Author Name: K. Goser
    Affiliation: Microelectronics Department, University of Dortmund, Dortmund, Germany
    Author URL: https://ieeexplore.ieee.org/author/37325335300
    ID: 37325335300
    Order: 4
    Author Affiliations:
    • Microelectronics Department, University of Dortmund, Dortmund, Germany
  • Author Name: W. Weber
    Affiliation: Corporate Technology Department, Siemens AG, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37275369700
    ID: 37275369700
    Order: 5
    Author Affiliations:
    • Corporate Technology Department, Siemens AG, Munich, Germany

Image Sensor

• sensor_type: CMOS
• resolution: 50x60 pixels
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: Low clock rate of 5 kHz
• power_consumption: 1.1 mW@5V

Applications & Benefits

• cell_imaging: Not specified
• benefits: Suitable for low-power and low-cost applications, e.g. in smart cards.

Supporting Organizations

• supported_by: Siemens AG, University of Dortmund

Manuscript Details

• publication_date: 17-19 June 1999

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • design considerations such as microlenses, on-chip colour filters, global or rolling shutters, and backside illumination

Processed JSON Filename

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