Automatic Fingerprint Identification
- K. Asai, Y. Kato, Y. Hoshino, K. Kiji
- Computer ScienceOther Conferences
- 10 October 1979
An image processing & feature extraction technique has been established in order to detect minutiae (ridge endings and ridge bifurcations and ridge counts useful for latent fingerprint identification) and the algorithm of the latent fingerprints identification using these features has been evaluated.
Document Image Analysis For Reading Books
- Y. Tsuji, J. Tsukumo, K. Asai
- Computer ScienceOther Conferences
- 14 October 1987
A hierarchical image segmentation is described, which separates a document image into its entities and was successful in reading 99.30% of the Japanese characters and Chinese ideographs, as used in printed text.
Character Image Segmentation
Two new methods for character segmentation under more general conditions based on least square error function and a dynamic programing method with the minimum variance for separation between candidate positions in a line image are described.
Automatic Fingerprint Identification Terminal For Personal Verification
- Koichi Morita, K. Asai
- Computer ScienceOther Conferences
- 15 October 1986
A prototype fingerprint identification system for personal verification has been developed. This system has a unique identification strategy, in the "top-down" direction, to map the features…
Character image segmentation, based upon minimum variance criterion
Description de deux nouvelles methodes pour la segmentation de caracteres sous des conditions plus generales
Adaptive Character Segmentation Method Based on Minimum Variance Criterion
A character segmentation method is proposed which is based on the clustering for the character cluster interval histogram by linear square-error function, and on the dynamic programming using the minimum variance criterion for separation between character sectioning candidate positions in a line image.
Recognition By Two Stage Discriminant Analysis
- H. Kami, T. Temma, K. Asai
- Computer SciencePhotonics West - Lasers and Applications in…
- 21 August 1987
It has been shown that this two stage discriminant analysis method is further applicable to character sequence recognition without the need for a character isolation process.