Supermarket fast payment system based on hand shape recognition technology

Abstract

The invention discloses a supermarket fast payment system based on the hand shape recognition technology. According to the technical scheme, a consumer of a supermarket handles a fast payment account number in the supermarket, and the hand shape information of the consumer is bonded with the supermarket fast payment account number, or a bank card opening up the fast payment is matched with and related to the hand shape of the consumer and is bonded with the supermarket account number; the hand shape recognition technology is utilized, when payment is carried out after the consumer goes shopping in the supermarket, it is only needed to input the hand shape information to a recognition device (1) of the supermarket, the hand shape information is related to the stored account number information through a cash register (2) of the supermarket, and then the payment process is automatically finished. Several groups of hand shape information can be set for the same account number, and clearing can be carried out when one set of data information is invalid or people who are allowed by the owner of the account number to go shopping. In daily life, the situation that during clearing in the supermarket, the situation that the money amount is not an integer, and it takes a large amount of time for a money collector to find changes happens frequently, the payment efficiency of the supermarket is affected, the money collecting efficiency can be improved through the supermarket fast payment system based on hand shape recognition, the working burden of the money collector is relieved, and the consumer can achieve clearing in supermarket shopping.

Description

Technical field: [0001] The invention relates to a supermarket quick payment system, in particular to a supermarket quick payment system based on hand shape recognition technology. Background technique: [0002] The hand shape recognition system (hand shape instrument) collects the three-dimensional shape of the finger for identity recognition. Due to the high stability of the hand shape characteristics, it is not easy to change with the external environment or physiological changes, and it is easy to use. It has been widely used in the past few decades. . In the 1996 Olympic Games, the hand-shaped instrument was used in the Olympic Village, and more than 65,000 people were registered, and more than one million entry and exit records were processed. Hand shape recognition plays an important role in the field of biometric recognition. At present, the most commonly used hand shape matching method is the point matching method. The quality of hand shape extraction directly ...

AI Technical Summary

Problems solved by technology

Hand shape recognition plays an important role in the field of biometric recognition. At present, the most commonly used hand shape matching method is the point matching method. The quality of hand shape extraction directly affects the accuracy of recognition, which requires that the hand shape contour extraction must be accurate, otherwise A large number of pseudo-feature points will be introduced, resulting in a surge in the error rate

In the process of hand shape acquisition, the illumination and noise of the surrounding environment will have a great impact on the accurate extraction of hand shapes.

This paper proposes an illumination compensation and hand shape extraction method based on local threshold value based on classification search to solve the above problems. This method can effectively overcome the phenomenon that traditional methods are difficult to extract hand shape edge information. Hand shape is extracted to provide a guarantee for recognition

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