A Lowpower And Highperformance Cmos Fingerprint Sensing And Encoding Architecture

• doi: 10.1109/ESSCIR.1998.186274
• title: A low-power and high-performance CMOS fingerprint sensing and encoding architecture
• publisher: IEEE
• isbn:
• issn:
• rank: 1156
• access_type: LOCKED
• content_type: Conferences
• abstract: A capacitive fingerprint sensor array with pixel-parallel cellular logic in CMOS is presented. The system acquires a binary fingerprint image and performs several image processing algorithms, including thinning the ridges of the fingerprint structure and extracting its characteristic features. The massive parallelism of the architecture leads to a very low power dissipation. Results of both simulations and measurements on a demonstrator chip are shown. The approach is well suited for person identification applications, especially in small portable systems, such as smart cards.
• article_number: 1471031
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1471031
• html_url: https://ieeexplore.ieee.org/document/1471031/
• abstract_url: https://ieeexplore.ieee.org/document/1471031/
• publication_title: Proceedings of the 24th European Solid-State Circuits Conference
• conference_location: The Hague, Netherlands
• conference_dates: 22-24 Sept. 1998
• publication_number: 9917
• is_number: 31526
• publication_year: 1998
• publication_date: 22-24 Sept. 1998
• start_page: 324
• end_page: 327
• citing_paper_count: 37
• citing_patent_count: 1
• download_count: 154
• insert_date: 20050801
• index_terms:
  • ieee_terms:
    • Fingerprint recognition
    • Encoding
    • Sensor arrays
    • CMOS image sensors
    • Logic arrays
    • Image coding
    • Capacitive sensors
    • Sensor phenomena and characterization
    • CMOS logic circuits
    • Image matching
  • dynamic_index_terms:
    • Image Processing
    • Portable System
    • Sensor Array
    • Image Processing Algorithms
    • Capacitive Sensor
    • Smart Card
    • Structural Fingerprints
    • Thinning
    • Underweight
    • Input Image
    • Processing Unit
    • Data Reduction
    • Localization Performance
    • Local Operators
    • Positive Performance
    • Blackbody
    • Blackbody Radiation
    • Supply Voltage
    • Single Pixel
    • Registration Status
    • State Registers
    • Enrollment Status
    • Clock Cycles
    • Edges Of Objects
    • Sensor Electrode
    • Logic Blocks
• authors:
  • Author Name: S. Jung
    Affiliation: Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37089094291
    ID: 37089094291
    Order: 1
    Author Affiliations:
    • Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany
    • Department of Microelectronics, University of Dortmund, Germany
  • Author Name: R. Thewes
    Affiliation: Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37275567900
    ID: 37275567900
    Order: 2
    Author Affiliations:
    • Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany
  • Author Name: T. Scheiter
    Affiliation: Semiconductor Group, Siemens AG Medical Solutions, Germany
    Author URL: https://ieeexplore.ieee.org/author/37374634500
    ID: 37374634500
    Order: 3
    Author Affiliations:
    • Semiconductor Group, Siemens AG Medical Solutions, Germany
  • Author Name: K. Goser
    Affiliation: Department of Microelectronics, University of Dortmund, Germany
    Author URL: https://ieeexplore.ieee.org/author/37325335300
    ID: 37325335300
    Order: 4
    Author Affiliations:
    • Department of Microelectronics, University of Dortmund, Germany
  • Author Name: W. Weber
    Affiliation: Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany
    Author URL: https://ieeexplore.ieee.org/author/37275369700
    ID: 37275369700
    Order: 5
    Author Affiliations:
    • Corporate Technology, ZT ME 2, Siemens AG Medical Solutions, Munich, Germany

Image Sensor

• sensor_type: CMOS
• resolution: 25x30 pixels (effective lateral image resolution of approximately 330dpi)
• 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: 5kHz
• power_consumption: 0.25mW - 6.7mW

Applications & Benefits

• cell_imaging: Used for person's identification applications in devices such as smart cards and mobile phones.
• benefits: Low power design suitable for portable systems; robust design applicable for various imaging processes.

Supporting Organizations

• supported_by: Supported by an Ernst von Siemens scholarship.

Manuscript Details

• publication_date: 22-24 Sept. 1998

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

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