Curve identifying system

Abstract

The invention discloses the curve recognition system possible to apply to the recognition of human fingerprints. The main technical points of the invention are as follows. The method of recognizing in local and fraction is utilized to process image information. The important elements of the curve image such as the shape, gradient and the position can be expressed in concise data. The chords sampled in the curve with equal interval express the curve. Thus, curve can be expressed, stored, restored and compared by using few memory capacities. The shape of object can be recognized by the device with the invention being provided. The invention can be used as the personal id instead of keys, locks, checking tickets etc.

Description

【Technical field】 [0001] The present invention relates to a curve recognition system for recognizing human fingerprints. As a means of identifying the person, it can be applied to criminal searches; lock devices instead of keys and cards; ticket verification instead of tickets and commuter coupons; cashless credit transactions instead of credit cards or passwords and seals; instead of the traditional voice of the phone e-commerce for asset management such as real estate transactions; for retrieval of medical records, social welfare, service industry, administrative and other biographical data such as household registration; and professional security services for identification through badges and faces. 【Background technique】 [0002] The curve recognition system used in the fingerprint recognition system before is to process the overall image of the fingerprint, and does not distinguish whether the area where feature points are prone to appear, nor does it distinguish whethe...

AI Technical Summary

Problems solved by technology

However, curves such as fingerprints are images composed of local feature points and ridge shapes that are not easily disturbed by rotation, movement, and noise, that is, parts with high information value and parts with low value. It is necessary to use it from time to time, and it is too wasteful to adopt the same treatment method

Moreover, in the data storage part of the database that constitutes the basis of the recognition system, if the parts with low information value are all saved, a large amount of memory capacity will be wasted, which is an important reason why the cost and comparison speed of the recognition system are limited.

In addition, without distinguishing the main points, making meaningless comparisons without processing the data, the efficiency of the comparison is not good, and it is difficult to obtain a high recognition rate

Further speaking, the fingerprint recognition does not use the information related to the feature points that should be used, but uses the image data of the ridge shape that has no direct relationship with the position of the feature points and the feature points, so that it will be affected by rotation, movement and noise. The recognition effect will be significantly worse when the

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