Accession Number:

ADA561732

Title:

Investigating Architectural Issues in Neuromorphic Computing

Descriptive Note:

Final technical rept. Sep 2010-Oct 2011

Corporate Author:

AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE

Personal Author(s):

• Pino, Robinson E.

Report Date:

2012-05-01

Pagination or Media Count:

29.0

Abstract:

Our objective is the study of an Intelligent Text Recognition System ITRS that mimics the human information processing procedure to fill in the missing or damaged text by considering the word level and sentence level context. The system is built upon two cognitive computing models, the Brain-State-in-a-Box BSB Attractor Model and the Cogent Confabulation Model. The former performs character detection and later performs word and sentence completion. Given a scanned text image where each character is 15-by-15 pixels large, experimental results show that, when 20 of the character images are damaged by a 1-pixel-wide horizontal scratch running through the center of the image where most of the information to distinguish amongst various characters is found, the ITRS recognizes complete sentences at 92 accuracy. When 60 of the character images are damaged by a 3-pixel-wide horizontal scratch located at the center, the ITRS recognizes sentences at 64 accuracy.

Descriptors:

• *COMPUTER ARCHITECTURE
• *HIGH PERFORMANCE COMPUTING
• COGNITION
• DETECTION
• HUMANS
• IMAGES
• INFORMATION PROCESSING
• MODELS
• PERCEPTION(PSYCHOLOGY)
• SCANNING
• WORDS(LANGUAGE)

Subject Categories:

• Computer Systems Management and Standards

Distribution Statement:

APPROVED FOR PUBLIC RELEASE