In long-distance communication through the Internet, one of the major problems is the transmission of secured information. However, for the last few decades, researchers used various encryption techniques to protect their valuable information. During long-distance communication of the encrypted information, cyber-attackers tried to extract the information and, in many cases, damaged a small part of the information. To overcome this problem, we propose an error-correcting encryption system based on convolution coding. Here this system is applied to fingerprint images which is a popular human–computer interaction system. The fingerprints are collected using a fingerprint scanner machine followed by the encryption of the images before transmission. If single or multiple bits of the image pixels are corrupted, the receiver can recover the original images. Both the hardware as well as software can be implemented to do this. We proved that this system is not prone to cyber-attacks and can recover the entire images effectively. The main advantage of this system is that it can detect and correct multiple-bit errors whereas the existing methods can perform only single-bit error correction.