A Cmos Fingerprint Systemonachip With Adaptable Pixel Networks And Columnparallel Processors For Image Enhancement And Recognition

• doi: 10.1109/JSSC.2008.2005809
• title: A CMOS Fingerprint System-on-a-Chip With Adaptable Pixel Networks and Column-Parallel Processors for Image Enhancement and Recognition
• publisher: IEEE
• isbn:
• issn: 1558-173X
• rank: 538
• access_type: LOCKED
• content_type: Journals
• abstract: We propose a 200times160 pixel CMOS fingerprint system-on-a-chip with a local adaptive pixel scheme and embedded column-parallel processors for performing 2-D digital image processing for fingerprint recognition. The pixel includes a sensing block, ADC, and in-pixel frame memory with no additional area penalty. The sensor can capture robust fingerprint images in various finger conditions using a locally adapted capacitive sensing scheme through adaptable pixel networks. The embedded parallel processors can enhance the captured image in digital signal domain by self-reconfigurable signal processing including low-pass and band-pass filtering, and create the thinned image for fingerprint recognition. A test chip has been fabricated using a 0.5 mum standard CMOS process. We have successfully captured and characterized the fingerprint images from the fabricated test chip at each step of adaptive signal processing steps. The total execution time for acquiring and processing a fingerprint image is less than 360 ms at 10 MHz and the power consumption is below 70 mW at 3.3 V supply voltage. The proposed sensor can be applied to personal identification systems for portable devices such as cellular phones, PDA and smart cards.
• article_number: 4685434
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4685434
• html_url: https://ieeexplore.ieee.org/document/4685434/
• abstract_url: https://ieeexplore.ieee.org/document/4685434/
• publication_title: IEEE Journal of Solid-State Circuits
• conference_location:
• conference_dates:
• publication_number: 4
• is_number: 4685413
• publication_year: 2008
• publication_date: Nov. 2008
• start_page: 2558
• end_page: 2567
• citing_paper_count: 16
• citing_patent_count: 8
• download_count: 1674
• insert_date: 20081121
• index_terms:
  • ieee_terms:
    • Fingerprint recognition
    • CMOS process
    • System-on-a-chip
    • Pixel
    • Image enhancement
    • Image recognition
    • Image matching
    • CMOS image sensors
    • Adaptive signal processing
    • Testing
  • author_terms:
    • Adaptive filtering
    • column-parallel processing
    • fingerprint recognition
    • fingerprint sensor
    • image processing
    • local adaptive scheme
  • dynamic_index_terms:
    • Image Enhancement
    • System-on-chip
    • Image Processing
    • Mobile Devices
    • Portable Devices
    • Low-pass
    • Low-pass Filter
    • Power Consumption
    • Local Adaptation
    • Local Strategies
    • Local Scheme
    • Supply Voltage
    • Digital Image Processing
    • Image Optimization
    • Boundary Extraction
    • Computer Image Processing
    • CMOS Process
    • Robust Image
    • Digital Domain
    • Smart Card
    • Test Chip
    • Signal Processing Steps
    • Processing Unit
    • Raw Images
    • Block Size
    • Image Capture
    • Sensor Electrode
    • Remote Memory
    • Cache Memory
    • Sense Amplifier
    • Filtration Performance
    • Filtering Operation
    • Charge Redistribution
    • Image Processing Algorithms
    • Electrodes In Order
    • Data Bus
    • Spatial Filter
    • Image Acquisition Time
• authors:
  • Author Name: Seong-Jin Kim
    Affiliation: Multimedia Laboratory, Samsung Advanced Institute of Technology, Gyeonggi, South Korea
    Author URL: https://ieeexplore.ieee.org/author/38183923800
    ID: 38183923800
    Order: 1
    Author Affiliations:
    • Multimedia Laboratory, Samsung Advanced Institute of Technology, Gyeonggi, South Korea
  • Author Name: Kwang-Hyun Lee
    Affiliation: System LSI Division, Samsung Electronics Company Limited, Gyeonggi, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37441936600
    ID: 37441936600
    Order: 2
    Author Affiliations:
    • System LSI Division, Samsung Electronics Company Limited, Gyeonggi, South Korea
  • Author Name: Sang-Wook Han
    Affiliation: Pixel Plus Company Limited, Gyeonggi, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37335525300
    ID: 37335525300
    Order: 3
    Author Affiliations:
    • Pixel Plus Company Limited, Gyeonggi, South Korea
  • Author Name: Euisik Yoon
    Affiliation: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/37275464600
    ID: 37275464600
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

Image Sensor

• sensor_type: CMOS
• resolution: 200x160
• dynamic_range: Not specified
• pixel_size: 55µm x 55µm
• dark_current: Not explicitly stated

Optical Data

• focal_length: Not provided
• aperture: Not stated
• field_of_view: Not indicated
• distortion: Not specified

Performance Metrics

• frame_rate: Not directly stated, but an execution time of <360 ms at 10 MHz is indicated for image processing.
• signal_to_noise_ratio: Not mentioned
• sensitivity: Not stated
• shutter_speed: Not detailed
• power_consumption: <70 mW at 3.3 V supply voltage
• noise: Fixed pattern noise due to variations in the logic threshold voltages in the cascode inverter.

Applications & Benefits

• cell_imaging: Can be utilized for personal identification systems in portable devices such as cellular phones, PDAs, and smart cards.
• benefits: Compact size and low cost making it suitable for integration in various devices.

Supporting Organizations

• supported_by: Samsung Advanced Institute of Technology; Samsung Electronics Co. Ltd.; PixelPlus Co. Ltd.; University of Michigan.

Manuscript Details

• publication_date: Nov. 2008

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency

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